The Bachelor of Information Systems (BIS) program provides students with fundamental and advanced knowledge and skills in the field of information systems, software development and development and management of information systems. Graduates of the program also acquire fundamental knowledge of accounting, finance, management and marketing.

At successful completion of the Bachelor of information systems program, graduates will be able to:

  • demonstrate a proficiency in a second foreign language for efficient verbal and written business communication;
  • demonstrate and apply tools of mathematical and statistical analysis, and contemporary information technologies in solving managerial issues related to business processes and projects;
  • demonstrate and apply core business, management, and leadership principles and skills (in the field of management, marketing, operations management and business law), and integrate theory to practice aiming to solve managerial problems;
  • demonstrate and apply contemporary data collection methods related to business transactions and preparation of financial reports, as well as financial analysis and rational allocation of company’s resources;
  • detect and correct present and potential issues related to ethics, responsibility and sustainability in the field of management;
  • plan and manage the information system of a company, organization, design a database;
  • apply skills in structuring & analysis of raw data sets of different origin;
  • use of intelligent systems for analyzing big data and making decisions with minimized risks;
  • be able to create their own systems, subsystems of storage, data processing, big data;
  • create and adapt ready-made software for the needs of the company, organization;
  • apply different well-known methods of data analysis and visualization for reporting and decision making;
  • apply modern hardware and software packages that form an information system on a local and network

To earn the Bachelor of Information Systems degree, students must complete 146 KIMEP or 240 ESTS credits.

The following table illustrates the structure of the Program.

Category of courses KIMEP credits ECTS
General Education 36 56
Program Foundation 68 112
Program Specialization 36 60
Final Attestation 6 12
TOTAL 146 240

Program Foundation Courses (112 ECTS/68 KIMEP credits):

(1)     Program foundation required courses (97 ECTS credits / 59 KIMEP)

(2)      Program foundation elective courses (15 ECTS credits/9 KIMEP)

Program Foundation Courses ECTS KIMEP

credits

Prerequisite
Program Foundation Required Courses 97 59  
BUS4251.1 Internship Program I 2 1 30 KIMEP credits completed
IFS4251.2/ IFS4201.2  

Internship Program II

 

2

 

2

60 KIMEP credits completed and BUS4251.1
ENG/GEN1100 Academic Speaking 5 3 ENG 1110/ GEN1010
ENG/GEN1121 Academic Reading and Writing 2 5 3 ENG 1120
KAZ2103 OR RUS2103 Professional Kazakh (Russian) 3 2  
FIN2105 Business Microeconomics 5 3 ENG 1120
CIT2735 Principles of Programming 5 3 GEN/OPM 1300 or

GEN/OPM 2301

MGT3001 Principles of Management 5 3 ENG 1120
ACC2102 Financial Accounting 1 5 3 FIN2105
FIN3121 Financial Management 5 3 ACC2102, FIN2105
IFS2203 Management Information Systems 5 3 GEN/OPM 1300 or

GEN/OPM 2301

MKT3130 Principles of Marketing 5 3 ENG 1120
MATH1202 Calculus 5 3 None
OPM3131 Introduction to Operations Management 5 3 IFS2402
IFS2402 Probability and Mathematical Statistics 5 3 MATH1202
ACC2201 Management Accounting I 5 3 ACC2102
FIN3210 Corporate Finance 5 3 FIN3121, ACC 2102, FIN2105
LAW2202 Business Law 5 3  
MGT4201 Strategy and Business Policy 5 3 MGT3001, MKT3130, FIN3121, ACC2201
OPM3011 Quantitative Methods for Business Data Analysis     GEN/IFS2402
MATH1204 Mathematics for Computer Science 5 3 MATH1202
Program Foundation Elective Courses 15 9  
  PHYS1201 Physics 5 3  
XXXX Elective 2 5 3  
XXXX Elective 3 5 3  
TOTAL 112 68  

Program Specialization Courses (36 KIMEP/ 60 ECTS credits):

  • Required Specialization Courses (27 KIMEP credits/ 45 ECTS) and
  • Elective Specialization Courses (9 credits/ 15 ECTS).
Program Specialization Courses ECTS KIMEP

credits

Prerequisite
Program Specialization Required Courses 45 27  
CIT3805 Big Data Analytics 5 3 OPM3011, IFS4204
IFS2204 Algorithms, Data structures and Programming 5 3 none
IFS4204 Decision Support Systems 5 3 GEN/OPM 1300 or GEN/OPM 2301
CIT1303 Information Systems and Networking 5 3 PHYS1201 or GEN/OPM1300
CIT2302 Database Management Systems in Business 5 3 GEN/OPM 1300 or GEN/OPM 2301
CIT2731 Digital Graphics in Business 5 3 GEN/OPM 1300 or GEN/OPM 2301
CIT3802 Web Technologies in Business 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS4242 Advanced Programming 5 3 IFS2204
IFS4251.3 Internship Program in IS III 5 3 IFS4251.2/ IFS4201.2
Program Specialization Elective Courses 15 9  
IFS3745 Information Security Management 5 3 GEN/OPM 1300 or GEN/OPM 2301
CIT3808 Mobile Platforms and Systems 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS4302 Business Intelligence Applications 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS2301 Introduction to Data Science 5 3 GEN/OPM 1300 or GEN/OPM 2301
CIT3801 Software Engineering Concepts 5 3 IFS2204
CIT3809 Mobile Programming 5 3 CIT1303
CIT3810 Machine Learning 5 3 CIT1303
CIT3804 Engineering Computation and Data Science 5 3 IFS2301, IFS2204
OPM4302 Project Management 5 3 OPM3131
IFS3201 Blockchain and Cryptocurrency 5 3 OPM3011, FIN3121, IFS2402
IFS3202 ERP Development and Programming 5 3 IFS2204, CIT2302
CIT3806 Cryptographic Data Security 5 3 IFS2204
CIT3811 Security in Computer Networks 5 3 IFS2204
CIT3812 Programming in C 5 3 IFS2204
CIT3803 Python Programming 5 3 IFS2204
CIT3807 Programming in Java 5 3 IFS2204
CIT3814 Programming in PHP 5 3 IFS2204
CIT3815 Database Development with SQL 5 3 IFS2204
CIT3908 Cybersecurity 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS4305 Data Visualization 5 3 GEN/OPM 1300 or GEN/OPM 2301
CIT3816 Mobile Technologies and Applications 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS4203 Big Data Management and Analysis 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS3738 Digital Business 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS4208 IT-Driven Business Model 5 3 GEN/OPM 1300 or GEN/OPM 2301
IFS3730 Business Analytics 5 3 GEN2402, GEN/OPM 1300 or GEN/ OPM 2301
BUS4800 Cases in Contemporary Business 5 3 GEN/OPM 1300 or GEN/OPM 2301
BUS3334 Ethics, Responsibility and Sustainability in Business 5 3 MGT3001, MKT3130, FIN3121, ACC2201
MGT3219 Corporate Social Responsibility 5 3 MGT3001
OPM3215 Business Time Series Forecasting 5 3 OPM3011
FIN2106 Business Macroeconomics 5 3 FIN2105
IFS4306 Enterprise Resource Planning (ERP) System 5 3 CIT2302
Total   60 36  

Final Attestation (6 KIMEP credits/12 ECTS):

Final Attestation Courses ECTS KIMEP

credits

Prerequisite
BUS4271 Thesis I/ Thesis Project I: Research Methods in Business Studies 6 3 102 credits and GEN2402
IFS4272 Thesis II/ Thesis Project II 6 3 128 credits and BUS4271
TOTAL 12 6

BIS students have the opportunity to choose among MAJORS:

  • Big Data Analytics
  • Management Information Systems

Big Data Analytics (36 KIMEP credits / 60 ECTS)

To gain Major in Big Data Analytics students are required to complete the following courses:

Course Code Course Title ECTS KIMEP credits
Course Code  Course Title

All 9 Program Required Specialization Courses

ECTS

45

KIMEP c

27

Any three courses from:
IFS2301 Introduction to Data Science 5 3
OPM3215 Business Time Series Forecasting 5 3
IFS4302 Business Intelligence Applications 5 3
IFS4305 Data Visualization 5 3
IFS3730 Business Analytics 5 3
CIT3810 Machine Learning 5 3
CIT3815 Database Development with SQL 5 3
CIT3804 Engineering Computation and Data Science 5 3
TOTAL 60 36

Management Information Systems (36 KIMEP credits / 60 ECTS)

To gain Major in Management Information Systems students are required to complete the following courses:

Course Code Course Title ECTS KIMEP credits
Course Code  Course Title

All 9 Program Required Specialization Courses

ECTS

45

KIMEP its

27

Any three courses from:
IFS4206 Enterprise Resource Planning (ERP) Systems 5 3
IFS3202 ERP Development and Programming 5 3
IFS4305 Data Visualization 5 3
OPM4302 Project Management 5 3
CIT3808 Mobile Platforms and Systems 5 3
IFS3745 Information Security Management 5 3
IFS3738 Digital Business 5 3
IFS4302 Business Intelligence Applications 5 3
IFS3201 Block chain and Cryptocurrency 5 3
TOTAL 60 36

MINORS FOR STUDENTS OF THE BANG COLLEGE OF BUSINESS

Students are free to choose among different minors. They can also graduate without taking any minor. Graduating without a minor provides more flexibility in selecting elective courses because major requires students to take a particular set of courses.

To gain a minor the BCB students shall take particular courses for a total of 9 KIMEP credits/15 ECTS. A particular course cannot be counted towards both a specialization and a minor.

Table below lists the requirements for MINORS for the BCB students.

Minor Area Code Course Title KIMEP

credits

ECTS Prerequisite
 

 

Accounting (any 3courses)

ACC3101 Financial Accounting II 3 5 ACC2102
ACC3201 Intermediate Financial Accounting I 3 5 ACC3101
ACC3202 Intermediate Financial Accounting II 3 5 ACC3201
ACC3212 Accounting Information Systems 3 5  

ACC3101

 

ACC3110

Management Accounting II 3 5  

ACC2201

 

 

Finance

FIN3210 Corporate Finance 3 5 FIN3121,

ACC2102, FIN2105

FIN3220 Investments 3 5 FIN3121
FIN3101
FIN3230 Financial Institutions Management 3 5 FIN3121
FIN3101
 

 

 

Information Systems in Business

(any 3 courses)

 

IFS3202

Database Management Systems in Business  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

CIT1303 Information Systems   and Networking  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

IFS3745 Information Security Management  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

 

IFS4204

Decision Support System  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

 

 

Computer Applications

 

CIT2731

Digital Graphics in Business  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

 

IFS4204

Decision Support System  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

 

CIT3734

Web Technologies inBusiness  

3

 

5

GEN/OPM 1300

or GEN/OPM2301

 

Management (any 3 courses)

 

MGT3206

Leadership and Motivation 3 5  

MGT3001

MGT3208 Innovation Management 3 5  

MGT3001

MGT3210 International Business 3 5 MGT3001
MGT3212 Organizational Behavior 3 5  

MGT3001

 

 

Leadership

LDP3201 Leadership: Principles and Best Practices 3 5  

MGT3001

LDP4201 Leadership: Making Principles Work 3 5  

MGT3001

LDP4202 Leadership in Action 3 5 LDP 3201

LDP4201

 

 

Human Resources

Management

MGT3204 Human Resource Management 3 5  

MGT3001

MGT4208 Training and Development 3 5 MGT3204
 

MGT4210

Compensation and Performance Management  

3

 

5

 

MGT3204

 

 

Entrepreneurship

MGT3211 Principles of Entrepreneurship 3 5  

MGT3001

MGT3218 Business Model Innovation 3 5 MGT3211
 

MGT3217

Building and

Accelerating the Venture

 

3

 

5

 

MGT3211

 

Marketing

(MKT 3150  and

any 2 other courses)

MKT3150 Strategic Marketing 3 5 MKT3130
MKT3201 Consumer Behavior 3 5 MKT3150
MKT3202 Marketing Communications 3 5  

MKT3130

MKT3214 Brand Management 3 5 MKT3150
MKT4203 Marketing Research 3 5 MKT3150
Tourism and Hospitality Management (MKT3221 and any 2courses) MKT3221 Tourism Practices and Principles 3 5 None
MGT3215 Hospitality Management 3 5 None
MKT3222 Cross-Cultural Tourism Marketing 3 5 MKT3130
MKT3223 Niche Tourism 3 5 None
MGT3216 Leisure and Recreational Management 3 5 None
Big Data Management and Analysis (IFS4203 and any 2 courses) IFS3202 Database Management Systems 3 5 GEN/OPM1300 or GEN/OPM2301
IFS4203 Big Data Management and Analysis 3 5 GEN/OPM1300 or GEN/OPM2301
IFS4204 Decision Support Systems 3 5 GEN/OPM1300 or GEN/OPM2301
IFS4302 Business Intelligence Applications 3 5 GEN/OPM1300 or

GEN/OPM2301; MKT 3130

CIT3908 Cybersecurity 3 5 GEN/OPM1300 or GEN/OPM2301
CIT3816 Mobile Technologies and Applications 3 5 GEN/OPM1300 or GEN/OPM2301
Logistics and Supply  Chain Management (OPM 3205 and any 2 courses) OPM3205 Logistics and Supply Chain Management 3 5 OPM3131
OPM4201 Purchasing and Material Management 3 5 OPM3205
OPM4501 Transportation Carrier Management 3 5 OPM3131

MERIT CERTIFICATES

In order to be eligible for the merit certificates under each Bachelor program, a student must:

  1. Take a set of three courses, offered by the BCB undergraduate programs, in a respective
  2. Meet exit criteria of a minimum overall GPA 00 in all courses required for a respective certificate.
  3. All pre-requisites must be met (waive of pre-requisites, concurrent registration, CSS courses as equivalence of BCB courses are NOT allowed).

MERIT CERTIFICATE IN AUDITING (9 KIMEP CREDITS / 15 ECTS)

Required courses:
ACC4203 Auditing
ACC4209 Fraud Examination
ACC4216 Professional Auditing

MERIT CERTIFICATE IN TAXATION (9 KIMEP CREDITS / 15 ECTS

Required courses:
ACC3205 Principles of Taxation
ACC3210 Taxation in Kazakhstan
ACC4240 Taxation of Multinational Enterprises

MERIT CERTIFICATE IN CORPORATE FINANCE AND INVESTMENT MANAGEMENT (9 KIMEP CREDITS / 15ECTS)

Required courses:
FIN4224 International Financial Management
FIN4212 Mergers and Acquisitions
FIN4221 Investment Banking

MERIT CERTIFICATE IN FINANCIAL INSTITUTIONS AND RISK MANAGEMENT (9 KIMEP CREDITS / 15 ECTS)

Required courses:
FIN3230 Financial Institutions Management
FIN4224 Financial Derivatives
FIN4232 Financial Risk Management and Decision making

MERIT CERTIFICATE IN MARKETING COMMUNICATIONS AND BRANDING (9 KIMEP CREDITS / 15 ECTS)

Required courses:
MKT3202 Marketing Communications
MKT3201 Consumer Behavior
MKT3214 Brand Management

MERIT CERTIFICATE IN TOURISM AND HOSPITALITY MANAGEMENT (9 KIMEP CREDITS / 15 ECTS)

Required courses:
MKT3221 Tourism Practices and Principles
MGT3215 Hospitality Management
MKT3222 Cross-Cultural Tourism Marketing/ MKT3223 Niche Tourism

/MGT3216 Leisure and Recreational Management

MERIT CERTIFICATES IN ENTREPRENEURSHIP (9 KIMEP CREDITS / 15 ECTS)

Required courses:
MGT3211 Principles of Entrepreneurship
MGT321 8 Business Model Innovation
MGT321 7 Building and Accelerating the Venture

MERIT CERTIFICATE IN BIG DATA MANAGEMENT (9 KIMEP CREDITS / 15 ECTS)

Required courses (any 3 courses):
IFS3202 Database Management Systems
CIT3805 Big Data Analytics
IFS4204 Decision Support Systems
IFS4302 Business Intelligence Applications
CIT3908 Cybersecurity
CIT3816 Mobile Technologies and Applications

MERIT CERTIFICATE  in LOGISTICS (9 KIMEP CREDITS / 15 ECTS)

Required courses:
OPM3205 Logistics and Supply Chain Management
OPM4201 Purchasing and Material Management
OPM4501 Transportation Carrier Management

CERTIFICATE IN LEADERSHIP

The purpose of the Leadership Development Program is to help KIMEP students develop the necessary skills to assume key positions in Kazakhstani business and government. It focuses on the practical application of leadership skills, ending in a supervised internship. Those students who fulfill all Program requirements listed below receive a Certificate in Leadership.

CERTIFICATE IN LEADERSHIP (9 KIMEP CREDITS / 15 ECTS)

Required courses:
LDP3201 Leadership: Principles and Best Practices
LDP4201 Leadership: Making Principles Work
LDP4202 Leadership in Action

OPERATIONS MANAGEMENT and INFORMATION SYSTEMS AREA

PHYS1201 Physics (3 Credits; 5 ECTS)

No Prerequisite

This course provides students with the opportunity to develop their knowledge, understanding and skills relevant
to the study of motion. Students examine energy in its different forms, and how we describe and measure
electricity and magnetism and their interrelated effects.

GEN 1201 Mathematics for Business and Economics (3 Credits; 5 ECTS)

Prerequisites: None

The course develops the basic concepts of mathematical analysis used in economics and business with emphasis on
differentiation and integration of single real-variable functions and matrix algebra. The approach to these
concepts is intuitive and visual. The formal proofs are given only when they help in understanding concepts.
Applications to economics, business and social science as well as computational realizations are studied.

GEN2402 Business Statistical Analysis (3 Credits; 5 ECTS)

Prerequisites: GEN 1201 Mathematics for Business and Economics/MATH1202 Calculus

The course provides basic knowledge of probability, axioms of probability, expectation, joint and conditional
probability distributions, Bayesian concepts of statistical inference, exploratory data analysis and data
transformations, confidence limits, continuous probability distributions, sampling distributions, sampling
surveys, hypotheses testing, regression analysis, analysis of variance and correlation analysis.

MATH1202 Mathematics for Computer Science 1 (Calculus I)

Prerequisites: none

The course introduces the basic mathematical tools and methods needed for computer science. It teaches how to
develop the elementary mathematical skills needed to define, analyze and reason with the sorts of abstract
concepts used in programming and computer science.

MATH1204 Mathematics for Computer Science 2 (Calculus III)

Prerequisites: Mathematics for Computer Science 1

The course introduces the advanced mathematical tools and methods needed for computer science. It teaches the
principles of discrete and linear algebra applied in programming and computer science.

IFS2402 Probability and Mathematical Statistics

Prerequisites: Mathematics for Computer Science 1

The courses introduces probability theory and mathematical statistics. It teaches the concept and elementary
properties of probability space, and random variables and their probability distributions. The concept of
sampling, estimation, and hypotheses testing is also explained.

OPM3011 Decision Techniques and Tools (3 Credits; 5 ECTS)

Prerequisite: GEN1201 Mathematics for Business and Economics/MATH1202 Mathematics for Computer
Science 1 and FIN3121 Principles of Finance

The course provides the essential concepts of business mathematical methods and knowledge about computer tools
used for decision making and problem solving. It will deal with such topics as LP Solutions, Breakeven Analysis,
Sensitivity Analysis, Decision Trees, CPM/PERT, Time Series Analysis, Quantitative Forecasting Techniques,
Decision Support Systems & Spreadsheets. The course will have a lab section added to focus on application of
computer tools.

OPM3131 Introduction to Operations Management (3 Credits; 5 ECTS)

Prerequisite: GEN2402 Business statistical Analysis or IFS2402 Probability and Mathematical Statistics

This course is an overview of the fundamentals of operations management (OM) used in service and manufacturing
organizations. OM uses analytical thinking to deal with real world problems. Students will be introduced to the
application of effective operations management techniques: productivity management, product and process design,
job design, the planning and management of materials flows, manpower and capacity planning and scheduling,
project management, and quality management.

OPM3215 Business Time Series Forecasting (3 Credits; 5 ECTS)

Prerequisite: GEN2402 Business statistical Analysis

The course is devoted to advanced students who would like to refine their knowledge in applied statistics. The
course consists of forecasting models and techniques, such as exponential smoothing models, ARIMA models, neural
network techniques, rule-based forecasting, business forecasting. Commercial software such as SPSS and Neural
Networks Package will be used for practical applications. Examples of time series forecasting related to
marketing, operations, and finance are provided.

GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

Prerequisites: None

The purpose of the course is to introduce the background of computer and information technology principles to
beginners and pre-intermediate level students. The course involves uses of modern software, such as Microsoft
Windows, Word, Excel, PowerPoint, Internet and E-mail programs, which are necessary for studying at KIMEP. This
course is a broad overview of the main topics in business computer applications. Students gain an understanding
of computer architecture, networks, telecommunications; they learn how to apply information and knowledge
systems, operations and decision support systems, spreadsheets, databases to a wide range of tasks and decision
making process. The course emphasizes how organizations benefit from and use computer-based technology. The
purpose of the course is to foster business thinking through available technical means.

CIT1303 Information Systems and Networking

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business
Computer Applications

This course focuses on the information systems and networking principles and best practices. In this course
students will learn the foundation concepts of computer hardware, software, operating systems, peripherals, etc.
along with how to get the most value and impact from computer technology. The course includes creating and
working with a computer network and network equipment.

IFS2203 Management Information Systems (3 Credits; 5 ECTS)

Prerequisite: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer
Applications

This course provides a broad overview of the information systems including their resources and components. In
addition the course discusses key managerial issues relating to implementation and application of information
systems in an enterprise, understanding the impact of information systems/ information technology on business
functions; outlining strategies for corporate growth based on the effective use and management of information
systems; analyzing business problems and developing the design for relevant information systems solutions;
understanding how information systems can be used to transform business processes and provide more effective
management control and decision systems.

IFS2204 Algorithms, Data structures, and Programming (3 credits; 5 ECTS)

Prerequisite: PHYS1201 Physics, MATH1202 Calculus

This course is designed for teaching students three main fundamental terms in software engineering – data
structures, algorithms, and programming. Students will learn types of data such as arrays, stacks, queues,
linked lists, binary search trees, heaps, and graphs, the syntax of data declaration and manipulation in
object-oriented programming language environment. Students will learn types of algorithms – linear, non-linear,
the possible algorithm presentation ways, algorithms that make use of such structures as for sorting, searching,
memory management. Students will also learn at least 2 programming languages at the examples of deciding
different computational, business problems.

CIT2731 Digital Graphics in Business (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business
Computer Applications

This course involves studies of computer graphics software; basis of computer graphics: vector, bitmap (raster),
2-, 3- dimensional software packages, graphics coding, etc. The course is emphasized on the use of computer
graphics in business (design of business cards, logo, booklets, leaflets, animated banners, billboards, etc.)
with Corel Draw 12, Corel Draw X5 as software package “3 in 1” combining vector and bitmap graphics facilities
(drawing with Corel Draw, image modifying with Corel Photo Paint, animating with Corel R.A.V.E.)

CIT2302 Database Management Systems in Business (3 Credits; 5 ECTS)

Prerequisite: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business
Computer Applications

This course covers fundamentals of databases & database management systems. The course introduces types and
models of data base logical organization, relational structure of database systems based on entity relationship
diagrams. The course contains basic principles of the relational database management systems with key fields and
relationship models, with database testing mechanisms via Normal forms. The course contains principles of
securing data while monitoring, editing, transferring. The course is compiled in the sequential manner from
declaring, structuring, arranging data to managing data with data base management system -DBMS objects such as
queries, forms, reports, pages. The course contains basis of programming with built-in DBMS languages like SQL,
built-in macro-commands

CIT3734 Web Technologies in Business (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business
Computer Applications

This course provides knowledge about Web Design principles. In this course students will learn the fundamentals
of web site design. Topics include publishing Web sites, updating web sites, Internet technologies. Topics
include an overview of the www, e-mail, browsers, basic web page elements and organization of virtual
communities. In the course software for web site development such as MS FrontPage and Dream Weaver are taken as
tools.

CIT3745 Information Security Management (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer
Applications

The purpose of this course is to show some of the critical security challenges in today’s computing world and to
discuss mechanisms for defending against those attacks by using classical and modern approaches of cryptography
and other defence mechanisms. Course contains topics which deal with theoretical and fundamental aspects of
cryptography, discuss various applications of cryptographic protocols and techniques in designing computing and
network security solutions. The course will be useful for students interested in cryptography and security
related areas.

CIT3801 Software Engineering Concepts (3 Credits; 5 ECTS)

Prerequisites: IFS2204 Algorithms. Data structures and Programming, CIT2735 Introduction to Programming

Software engineering is the application of a systematic disciplined quantifiable approach to the development,
operation and maintenance of software; the application of engineering to software. In the course there will be
given basic activities which are common to all software engineering process models: software specification –
functional requirements obtained from the user; software design and implementation – production of the software
system as a product; software validation – activity that assures that customer specifications are met; software
evolution – system modification to meet continuing customer needs.

CIT3802 Advanced Programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

This course introduces computer programming using JAVA Script and the basics of JAVA programming languages with
the principles of object-oriented programming. The emphasis is on event-driven programming methods, including
creating and managing objects, classes, and using object-oriented tools, such as a class debugger. Upon
completion, students should be able to develop, code, test, and debug JAVA Script and JAVA language programs.

CIT3803 Python Programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

In this course students will learn programming in Python which is a popular programming language. It was
created by Guido van Rossum, and released in 1991. It is used for: web development (server-side),software
development, mathematics, system scripting. Students will learn how to utilize Python program to create web
applications; to create workflows; to connect to database systems, to read and modify files; to handle big data
and perform complex mathematics; to rapid prototype; to do production-ready software development.

CIT3804 Engineering Computation and Data Science(3 Credits; 5 ECTS)

Prerequisites: IFS4301 Introduction to Data Science

This course trains students to use and manage scientific data, whether it is in analyzing complex physical
systems or in using statistics and machine learning, along with data visualization to extract useful information
from the massive amount of data that can be also collected from sensors today. The course is committed to the
development of new knowledge aimed at development and propagation of the use of numerical and computational
tools to further research across multiple disciplines.

CIT3805 Big Data Analytics (3 Credits; 5 ECTS)

Prerequisites: IFS4301 Introduction to Data Science

This course covers Big Data Fundamentals, including the characteristics of Big Data, the sources Big Data (such
as social media, sensor data, and geospatial data), as well as the challenges imposed around information
management, data analytics, privacy and security, as well as platforms and architectures. Data warehouses will
also be presented as a solution to handling big data and business intelligence applications. This course is for
understanding why the Big Data Era has come to be. This course provide students with the terminology and the
core concepts behind big data problems, applications, and systems. It will help students to start thinking about
how Big Data might be useful in their business or career.

CIT3806 Cryptographic Data Security (3 Credits; 5 ECTS)

Prerequisites: MATH1202 Calculus and GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301
Business Computer Applications

The purpose of this course is to show some of the critical security challenges in today’s computing world and to
discuss mechanisms for defending against those attacks by using classical and modern approaches of cryptography
and other defense mechanisms. Course contains topics which deal with theoretical and fundamental aspects of
cryptography, discuss various applications of cryptographic protocols and techniques in designing computing and
network security solutions. The course will be useful for students interested in cryptography and security
related areas.

CIT2735 Introduction to Programming  (3 Credits; 5 ECTS)

Prerequisites: IFS2204 Algorithms, Data structures and Programming

This course introduces computer programming using JAVA Script and basis of JAVA programming languages with
object-oriented programming principles. Emphasis is placed on event- driven programming methods, including
creating and manipulating objects, classes, and using object-oriented tools such as the class debugger. Upon
completion students should be able to design, code, test, and debug JAVA Script and JAVA language programs

CIT3812 Programming in C (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches C language of programming, developed for creating system applications that directly interact
with the hardware devices such as drivers, kernels, etc. C programming is considered as the base for other
programming languages, that is why it is known as a mother language.

CIT3807 Programming in Java (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches Java, a popular general-purpose programming language and computing platform. It is fast,
reliable, and secure. According to Oracle, the company that owns Java, Java runs on 3 billion devices worldwide.
Considering the number of Java developers, devices running Java, and companies adapting it, it’s safe to say
that Java will be around for many years to come.

CIT3814 Programming in PHP (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches PHP, a popular general-purpose scripting language that is especially suited to web
development. The language has the ability to communicate back and forth with a server and create a dynamic web
page for the user.

CIT3815 Programming in SQL (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course will teach SQL, a domain-specific language used in programming. The language is designed for managing
data held in a relational database management system, or for stream processing in a relational data stream
management system.

CIT3811 Security in Computer Networks (3 Credits; 5 ECTS)

Prerequisites: CIT1303 Information Systems and Networking

The courses teaches the fundamental of network security, which consists of the policies and practices adopted to
prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and
network-accessible resources.

CIT3809 Mobile Programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

This course teaches how to develop mobile applications for mobile devices, such as personal or enterprise
digital assistants or mobile phones. These applications can be pre-installed on phones during manufacturing
stage, or delivered as web applications using server-side or client-side processing to provide an
“application-like” experience within a Web browser.

CIT3810 Machine Learning (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches the fundamental of Machine learning, a method of data analysis that automates analytical
model building. It is based on the idea that systems can learn from data, identify patterns and make decisions
with minimal human intervention.

CIT3808 Mobile Platforms and Systems (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches the hardware and software environment for laptops, tablets, smartphones and other portable
devices. The students will learn different platforms like Windows and Mac dominated the laptop world, and Apple
and Android that rule the smartphone/tablet devices.

CIT3802 Web programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches programing for develop website development. Web development can range from developing a
simple single static page of plain text to complex web-based internet applications, electronic businesses, and
social networks.

IFS 4204 Decision Support Systems (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer
Applications

A decision support system (DSS) – is a computer system that encompasses mathematical models, informational
databases and a user interface to help managers make better decisions. This course is intended to develop an
appreciation of the nature of managerial business decision making as well as a working knowledge of Decision
Support Systems (DSS) for facilitating the process of semi-structured decision making. The course will help
students to gain proficiency in general solutions of operational business problems, using Decision Support
Systems released in spreadsheets at the examples of MS Excel, Google sheet (free cloud), released in free cloud
applications – such as Microsoft Power BI, and special commercial DSS software including IBM SPSS.

IFS4301 Introduction to Data Science (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer
Applications

This course covers the necessary tools and concepts used in the data science industry, including machine
learning, statistical inference, scaled data, and more. Students will learn the basics of retrieving data from a
variety of sources, including web APIs and page cleaning. Students will learn the basic syntax of data mining
languages such as R, Python, command line and spreadsheets for research and data manipulation. The course
contains topics on using methods for data analysis.

IFS4302 Project Management (3 Credits; 5 ECTS)

Prerequisites: OPM3131 Introduction to Operations Management

This course offers a comprehensive overview of project management and covers topics such as methodology, tool
sets, and project lifecycle including analysis, planning, design, and evaluation. It provides a good foundation
for beginners who want to learn about the various phases of the system development lifecycle, as well as
different types of documentation.

IFS4304 Business Intelligence Applications (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer
Applications and FIN3121 Principles of finance and MKT3130 Principles of Marketing

This course provides students a comprehensive introduction to the concepts, techniques and applications of
business intelligence (BI). The course will overview of business intelligence, introduce basic business
intelligence terminology, overview of data driven decision making, introduce real-world business intelligence
examples and train skill in using business intelligence software.

IFS4305 Data Visualization (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information and Communication Technologies or GEN/OPM 2301 Business Computer
Applications

The course is addressed to students with knowledge on basic data analysis techniques. Students will get started
with building interactive MS Power BI dashboards based on the user needs and required metrics. By the end of the
classes students will become efficient in telling an interactive story using data and providing recommendations
based on it.

IFS4306 ERP systems (3 Credits; 5 ECTS)

Prerequisites: CIT2302 Database Management Systems in Business

ERP Systems are used by large and midsize companies in order to support their daily business transactions,
covering areas such as Sales & Distribution, Procurement, Inventory Management, Production Planning, Finance
and Controlling. Enterprise software designed to integrate every aspect of a company’s operation. The goal of
this course is to familiarize students with business processes and enable them to record transactions in an ERP
System

IFS4275 Thesis (2 Credits; 4 ECTS)

Prerequisites: completion of the General Education and Program courses

A thesis is a research work on a topic that is in the area of Information Systems and Technology. Students will
be supervised by faculty members in the process. Further details on thesis requirements are provided under the
KIMEP University regulations on this matter.

IFS4277 State Examination (1 Credit; 3 ECTS)

Prerequisites: completion of the General Education and Program courses

Students are required to take the state examination in the major area. Further details on this requirement are
provided under the KIMEP University regulations on this matter.

IFS4280/ IFS4290State Specialized Examinations (2 credits; 4 ECTS)

Prerequisites: completion of the General Education and Program courses

Students can take state specialized examinations under certain conditions. Further details on this requirement
are provided under the KIMEP University regulations on this matter.

IFS4251.2 Internship Program in IS II (2 Credits; 2 ECTS)

Prerequisites: BUS4251.1 Internship Program I and 70 credits completed

Familiarization with the organizational structure of the internship host-organization, with the area of its
activities; learning mode of operation of the organization; learning the organizational documents of the
organization; acquiring the skills of collecting and processing of primary information in the field of
management; carrying out a comparative analysis of the organization; identifying gaps and suggesting the ways to
improve the development of the organization.

IFS4201.2 Cases in IS (substitute) (2 Credits; 2 ECTS)

Prerequisites: BUS4251.1 Internship Program I and 70 credits completed

This course provides students the opportunity to apply their knowledge and skills to address a series of real IT
issues that have arisen in organizations. The variety of cases, in terms of issues addressed and different
organizational settings, provides the opportunity to accelerate learning in a manner not possible in real-life.
Students can expect to develop and apply not only their critical, analytical and decision-making skills but also
those of written and oral communication.

IFS4251.3 Internship Program in IS III (3 Credits; 5 ECTS)

Prerequisites: IFS4251.2 Internship Program in IS II or IFS4201.2 Cases in IS (substitute)

The consolidation and intensification of theoretical knowledge and skills acquired by students through the
process of theoretical learning; the formation of professional competence; the familiarization
with real industrial, technological, and organizational processes going on at the place of internship; the
mastering of the profession’s basics in the operational sphere: the familiarization with and acquirement of the
methodology and technology of professional problem-solving; the collection of the necessary for the preparation
and compilation of the internship report materials. Bases of internship are organizations related to careers in
Information Technologies in Business.

Scholarship opportunities

There are 20 scholarships available for the whole period of education at the Bachelor of Information Systems in
Business program for those who will start their studying process in Fall 2018.

Contact the Office of Financial
Aid
, if you would like to apply for scholarship.


Tuition & Fees

Career Prospects
The Bachelor of Information Systems program has been specifically designed to prepare graduates to meet the
diverse needs of contemporary Kazakhstan and global employment markets. Upon completion of the program,
graduates will be able to compete with other highly qualified candidates in these markets. Furthermore, they
will be able to demonstrate firm specialized theoretical knowledge in the field of Information Systems.
Bachelor of Information Systems  program provides students an opportunity to develop many important and valuable
technical skills, advanced analytical skills, and broad business and information systems expertise to build a
stellar career.

Job options related to BISB degree include:
– Application analyst
– Data analyst
– Data scientist
– Business analyst
– Web content manager
– Information systems manager
– IT consultant
– Systems analyst
– Information Systems developer

Typical employers for information systems specialists:
– Financial organizations
– IT companies
– Management consultancy firms
– Software companies
– Universities
– Hospitals
– Local authorities
– Central government
– Online retailers
– Enterprises
– Logistical structures