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The University Of Georgia
Program name: Business Analytics
Study Level: Undergraduate
Program leader: Revaz Papukashvili
Keti Tskhadadze
Study language: English
Qualification: Bachelor of Business Administration
Program capacity: 240
Program permission: English language B1 level (70%) and other legislative requirements. namely citizens of Georgia should successfully pass Unified National Entrance Examinations. Foreign high-school graduates who received complete general education abroad or its equivalent and the last two years of complete general education had studied abroad or students who lived abroad for the last two or more years and who are currently studying abroad in higher educational institutions recognized by the legislation of the host countries will be able to enter the program without passing Uniform National Entrance Examinations according to Order №224/N of the Minister of Education and Science of Georgia (December 29, 2011). International certificates will be recognized to confirm English level: • TOEFL IBT – at least score 70. • IELTS – at least score 4.5. • PTE General – at least level B1. • FCE – at least level B. • CPE – satisfactory pass. • CAE – satisfactory pass. The University of Georgia will conduct the B1 level test, where 70% of the test will be considered as confirmation of the competence, for the students who do not have the English language competence certificates.
Program goals:

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.

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:
Knowledge and understanding

  • After the program completion, the graduate is able to: 

    • Describe fundamental concepts and vital tools of modern business analytics;
    • Describe User Experience research methods and techniques in the process of product/service creation;
    • Distinguish main data structures in the modern world, describes the business environment based on the real business cases;
    • Explain importance of data structure databases, data mining, sorting techniques in the process of making valid business decisions;
    • Describe methods of functional analysis of data visualization using tools and modeling results;
    • Explain Mathematical, statistical-probability apparatus when solving business problems;
    • Explain main trends and components in the field of information technologies and systems.

    • Skills

  • After the program completion, the graduate:

    • Effectively uses vital tools of modern business analytics for facilitating decision making process;
    • Conceptualizes and interrelates areas of interest relevant to real-world complexities of the organization, critically, independently explains basic modeling techniques and methods;
    • Identifies user needs, explains content structure, documents, evaluates, analyses and presents;
    • Identifies the system development life cycle process, applies information gathering methods in practice;
    • Creates and makes changes to the graphic description of business processes and modeling; uses analytical methods in business decision-making techniques;
    • Plans, conducts, analyzes, works in teams, manages time and reports research independently;
    • Interprets analytical models and uses them effectively;
    • Analyses and synthesizes company’s financial statement and transforms results into the valuable information;
    • Analyses business decisions and develops appropriate processes and practices.

    • Responsibility and autonomy

  • After the program completion, the graduate:

    • Realizes the complexity of the field of business and takes responsibility to comply with ethical standards and principles in decision-making processes;
    • Determines their professional interests independently, realizes peculiarities of the learning process and highlights the need to continue their studies in graduate and doctoral level.
    • Date of approval: 12-31-2022
    Approval protocol number: 36-22
    Date of program update:
    Update protocol number:
    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.

    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 - 186 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
    BUAN1010EIntroduction to Business Analytics6 1
    BUSN1210EBasics of Business and Economics6 1
    INFO1133EMS office6 1
    MATH3010EQuantitative Methods in Business Analytics 16 1
    BUAN1015EBasics of Business Modeling6 2
    INFO3015EBusiness Process Visualization using MS Visio6 2
    MATH3020EQuantitative Methods in Business Analytics 26 2
    MGMT2110EBasics of Management6 2
    BUAN1020EUser Experience (UX)6 3
    BUAN2030EFinancial and Managerial Accounting6 3
    BUAN2040EBusiness Communication for Analytics6 3
    INFO3212EDecision Modeling in MS Excel6 3
    BUAN1025EBusiness Requirements Analysis and Management6 4
    BUAN3015EFinancial Management6 4
    BUAN3020EBusiness Continuity Management6 4
    INFO3020EObject Oriented Programming (C#)6 4
    INFO3025EDatabase Management Systems (MS SQL)6 4
    BUAN1030EData Structures and Analysis6 5
    MATH3040EData Analysis6 5
    MGMT3110EBasics of Operation Management6 5
    BUAN2010EFunctional Analysis: Methods and Techniques6 6
    BUAN2025EData Visualization6 6
    BUAN3025EBusiness Intelligence6 6
    INFO3035ENIT Services and Project Management6 6
    BUAN2015EBusiness Analytics Process Management6 7
    INFO3045EManagement Information Systems6 7
    BUAN4030EProject and Thesis in Business Analytics30 8

    Credits sum:

    186

    Program Elective

    Code Subject ECTS
    BUAN3010ECustomer Behavior and Marketing6
    BUAN3030EBasics of Digital Marketing6
    ECON1290EPrinciples of Microeconomics6
    ECON2190EPrinciples of Macroeconomics6
    INFO3030EFundamentals of WEB Technologies6
    MATH3030EQuantitative Methods in Business Analytics 36
    INFO3040EArtificial Intelligence and Legal Affairs6
    LAWB4310EBusiness Law6
    MGMT1515EBusiness Ethics6
    BUAN4020EEntrepreneurship and Innovation6
    KART1141Georgian, as a second language I6
    LAWB4991ELaw on Entrepreneurs6
    MGMT2111EInternational Business6
    MGMT2210EFundamentals of the Strategic Management6
    BUAN4010ECost-Benefit Analysis6
    BUAN4015ERisk Management6
    FINA4115ECorporative Finances (intermediate)6
    INFO3055EData Warehouse6
    INFO3265EPersonal Data Protection6
    KART1241Georgian, as a second language II6
    MGMT3211EHuman Resource Management6
    ACCT2210EBasics of Managerial Accounting6
    BUAN4025EInternship in Business Analytics12
    MGMT3151EChange Management6

    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 - 186 ECTS in total (which includes project and thesis in business analytics 30 ECTS) and the remaining credits (54 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



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