PROGRAMS

BACHELOR OF BUSINESS ANALYTICS EDUCATIONAL PROGRAM  

Program details:

  • Right at the start of the semester students will get familiar with the field of business analytics, Students will learn to solve business problems by combining data analytics and mathematical modelling geared toward practice.
  • As business, mathematics and programming form an essential part of the work as a future business analytics professional, the focus of the program is to go through theoretical foundation in mathematics and programming.
  • Moreover, students will participate in projects where they will apply their knowledge to practical and business oriented case.
  • In the upcoming years of studies, students will deepen into the key subjects of the business analytics program.
  • Medium of the Program is Fully English.

Program Goal

Business Analytics is a multidisciplinary program aimed to improve and optimize business processes. The combination of business administration, information technological and mathematical methods play an important role in this program. In addition to basic courses in these disciplines, a number of interdisciplinary courses and practice-oriented components are part of the study. Students will be trained in identifying and solving problems in very diverse fields.
Students will study the relevant theories, but also work on challenging projects in small groups. They will develop communication, consulting and presenting skills.
Based on interdisciplinary and practice-oriented components, the program prepares competitive professionals who can be employed in both private, public and international organizations, in the following positions: business management analyst, information technology analyst, financial and statistical analyst. The bachelor’s program in business analytics is designed in such a way that students have the ability to use analytical techniques.
Considering the complexity of business analytics, the program is designed to meet the following requirements:
– The graduate will be able to conceptualize and interrelate areas of interest which are relevant to the real-world complexities of the organization;
– The graduate will be able to process design issues of model-oriented organizational information systems, understand and interpret the results.;
– The graduate will be able to identify the research provided by analytical projects, evaluate them critically, work in teams, understand own responsibilities, plan ethically responsible research, use time and project management skills.
Graduates will also be able to disclose their professional interests and improve their knowledge at higher level of studies.

Outcomes

Methods for Attaining Learning Outcomes:

• Lecture-seminars
• Explanatory method
• Demonstration method
• Interactive lectures
• Discussion/debates
• Team Work
• Case study and analysis
• Problem solving exercises
• Action-oriented learning
• Project based learning
• Literature review
• Written work methods
• Work process simulation
• Practical studies

Learning outcomes:

Outcomes

  • 1. Describes the main functional areas of business management, processes in functional areas, discusses the fundamental concepts and vital tools of modern business analytics.

    2. Analyzes the activities of the organization, describes in detail the business environment through SWOT and PESTEL analysis

    3. Appropriately uses mathematical, statistical and probabilistic tools when solving business problems, including data analysis methods and tools for data visualization and results modeling

    4. Using the vital tools of modern business analytics, outlines the problems faced by the business and describes the ways to solve them. Also analyzes and graphically depicts business processes, which implies the use of analytical methods during business decision-making

    5. Complying with the standards and principles of financial accounting, constructs financial sources, calculates the company’s profitability and evaluates the company’s financial indicators through the analysis of ratios.

    6. Develops and conducts a research/practical project/work and presents it using appropriate technologies

    7. Follows the principles of leadership and/or cooperation while working in a team

    8. Uses modern information and communication technologies

    9. Evaluates the importance of social responsibility of business and corporate ethical norms/principles

    10. Determines his professional interests independently, in order to understand the peculiarities of the learning process and to highlight the need to continue to the next level of education.

    Teaching Process Characteristics:

    In order to earn a bachelor’s degree in Business Analytics, student is required to collect 240 ECTS, which includes:

    the program core courses – 192 ECTS in total (which includes project and thesis in business analytics 30 ECTS) and the remaining credits (48 ECTS) can be filled from the elective courses of Business Analytics.

    Program Core

    Code Subject ECTS Semester
    BUAN1010E Introduction to Business Analytics 6 1
    BUSN1210E Basics of Business and Economics 6 1
    INFO1133E MS office 6 1
    MATH3010E Quantitative Methods in Business Analytics 1 6 1
    BUAN1015E Basics of Business Modeling 6 2
    INFO3015E Business Process Visualization using MS Visio 6 2
    MATH3020E Quantitative Methods in Business Analytics 2 6 2
    MGMT2110E Basics of Management 6 2
    BUAN1020E User Experience (UX) 6 3
    BUAN2030E Financial and Managerial Accounting 6 3
    BUAN2040E Business Communication for Analytics 6 3
    INFO3212E Decision Modeling in MS Excel 6 3
    MGMT3211E Human Resource Management 6 3
    BUAN1025E Business Requirements Analysis and Management 6 4
    BUAN3015E Financial Management 6 4
    BUAN3020E Business Continuity Management 6 4
    INFO3020E Object Oriented Programming (C#) 6 4
    INFO3025E Database Management Systems (MS SQL) 6 4
    BUAN1030E Data Structures and Analysis 6 5
    MATH3040E Data Analysis 6 5
    MGMT3110E Basics of Operation Management 6 5
    BUAN2010E Functional Analysis: Methods and Techniques 6 6
    BUAN2025E Data Visualization 6 6
    BUAN3025E Business Intelligence 6 6
    INFO3035EN IT Services and Project Management 6 6
    BUAN2015E Business Analytics Process Management 6 7
    INFO3045E Management Information Systems 6 7
    BUAN4030E Project and Thesis in Business Analytics 30 8
     
    Credits sum:
    192

    Program Elective

    Code Subject ECTS
    BUAN3010E Customer Behavior and Marketing 6
    BUAN3030E Basics of Digital Marketing 6
    ECON1290E Principles of Microeconomics 6
    ECON2190E Principles of Macroeconomics 6
    INFO3030E Fundamentals of WEB Technologies 6
    MATH3030E Quantitative Methods in Business Analytics 3 6
    INFO3040E Artificial Intelligence and Legal Affairs 6
    LAWB4310E Business Law 6
    MGMT1515E Business Ethics 6
    BUAN4020E Entrepreneurship and Innovation 6
    KART1141 Georgian, as a second language I 6
    LING0015 Georgian as a Foreign Language I (General) 6
    MGMT2111E International Business 6
    MGMT2210E Fundamentals of the Strategic Management 6
    BUAN4010E Cost-Benefit Analysis 6
    BUAN4015E Risk Management 6
    FINA4115E Corporative Finances (intermediate) 6
    INFO3055E Data Warehouse 6
    INFO3265E Personal Data Protection 6
    KART1241 Georgian, as a second language II 6
    LING0017 Georgian as a Foreign Language II (General) 6
    ACCT2210E Basics of Managerial Accounting 6
    BUAN4025E Internship in Business Analytics 12
    MGMT3151E Change Management 6
     
    Credits sum:
    150

    Matrix Of Privequisites

    In order to earn a bachelor’s degree in Business Analytics, student is required to collect 240 ECTS, which includes: the program core courses – 192 ECTS in total (which includes project and thesis in business analytics 30 ECTS) and the remaining credits (48 ECTS) can be filled from the elective courses of Business Analytics.

    Point GPA The university assessment   The general assessment in Georgia
    97-100 4,00 A+ A Excellent
    94-96 3,75 A
    91-93 3,50 A-
    87-90 3,25 B+   Very good
    84-86 3,00 B B
    81-83 2,75 B-  
    77-80 2,50 C+   C good
    74-76 2,25 C
    71-73 2,00 C-
    67-70 1,75 D+   D Satisfactory
    64-66 1,50 D
    61-63 1,25 D-
    51-60 1,00 E E Sufficient
    Not passed
    41-50   FX FX Insufficient
    <40   F F Failed