The 3-year Business Analytics program at UG is designed for students who want to develop strong analytical and data interpretation skills in a shorter time frame. With an accelerated curriculum, students cover essential topics such as financial analysis, digital marketing analytics, business intelligence, and AI-driven market research.
This degree is tailored for students looking to enter high-demand fields like consulting, financial analytics, and supply chain management. The program emphasizes practical, real-world applications, ensuring that graduates gain experience working with business data models, AI-driven predictive tools, and machine learning applications.
Graduates can pursue careers in business analytics, risk management, and investment analysis, working in multinational corporations, fintech companies, e-commerce firms, and consulting agencies. UG provides hands-on training, industry partnerships, and networking opportunities, ensuring that students are well-prepared for high-paying careers in global markets.
Official Syllabus:
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. 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
- Oral and written communication
- critical thinking
- Time management
Learning outcomes:
Outcomes
- Describes the main functional areas of business management, processes in functional areas, discusses the fundamental concepts and vital tools of modern business analytics.
- Analyzes the organization’s activities, describes in detail the business environment through SWOT and PESTEL analysis
- Appropriately uses mathematical, statistical and probabilistic tools when solving business problems, including data analysis methods and tools to visualize data and model results
- Using the vital tools of modern business analytics, identifies 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
- In compliance with the standards and principles of financial accounting, he constructs financial sources, calculates the company’s profitability and evaluates the company’s financial indicators through the analysis of ratios.
- Develops and implements a research/practical project/thesis and presents it using appropriate technologies
- Acts in a team following the principles of leadership and/or cooperation
- Uses modern information and communication technologies
- appreciates the importance of business social responsibility and corporate ethical norms/principles
- Independently determines his own professional interests, in order to understand the peculiarities of the learning process and highlight the need to continue to the next level of education.
Date of approval: 02-15-2024
Approval protocol number: 09PDC355-04
Update protocol number: 09PDC6051-01
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 180 ECTS, which includes: the program core courses – 150 ECTS in total and the remaining credits (30 ECTS) can be filled from the elective courses of Business Analytics.
Program Core
- Introduction to Business Analytics
- Basics of Business and Economics
- MS office
- Quantitative Methods in Business Analytics 1
- Basics of Business Modeling
- Business Process Visualization using MS Visio
- Quantitative Methods in Business Analytics 2
- Basics of Management
- User Experience (UX)
- Financial and Managerial Accounting
- Business Communication for Analytics
- Decision Modeling in MS Excel
- Human Resource Management
- Business Requirements Analysis and Management
- Financial Management
- Business Continuity Management
- Database Management Systems (MS SQL)
- Programming Language Python
- Data Structures and Analysis
- Data Analysis and Visualization
- Basics of Operation Management
- Functional Analysis: Methods and Techniques
- Business Analytics Process Management
- Business Intelligence
- Management Information Systems
Program Elective
- Basics of Managerial Accounting
- Customer Behavior and Marketing
- Basics of Digital Marketing
- Cost-Benefit Analysis
- Risk Management
- Entrepreneurship and Innovation
- Internship in Business Analytics
- Project and Thesis in Business Analytics
- Principles of Microeconomics
- Principles of Macroeconomics
- Corporative Finances (intermediate)
- Fundamentals of WEB Technologies
- Artificial Intelligence and Legal Affairs
- Data Warehouse
- Personal Data Protection
- Georgian, as a second language I
- Georgian, as a second language l
- Business Law
- Quantitative Methods in Business Analytics 3
- Business Ethics
- International Business
- Fundamentals of the Strategic Management
- Change Management
