Duration: 4 years
Number of credits: 248 ECTS
Language of instruction: English
Advantages:
The Bachelor’s degree in Business Administration (BBA) programme in Accounting with Artificial Intelligence (6B04118) is designed to prepare students for successful careers in accounting, auditing, and business analytics by combining strong accounting expertise with the practical application of artificial intelligence and digital technologies.
The programme emphasizes the development of analytical, technical, and decision-making skills required to address modern accounting and financial challenges. Students gain comprehensive knowledge of financial and management accounting, auditing, taxation, financial reporting, and accounting information systems while learning to apply artificial intelligence, data analytics, machine learning, and automation tools to improve financial decision-making, risk management, compliance, and business performance.
Accredited by the Association of Chartered Certified Accountants (ACCA), the programme is aligned with international professional standards and offers students opportunities to obtain ACCA exemptions and pursue globally recognized professional qualifications.
The curriculum is developed in accordance with government regulations, international accounting and financial reporting standards, labor market demands, and the needs of employers and professional stakeholders. It equips graduates with the competencies required to thrive in the rapidly evolving digital economy and contribute to the digital transformation of accounting and finance across a wide range of industries.
— Admission requirements —
| Educational programme | Language of instruction | Overall UNT score | UNT Score for State Grant Competition | UNT Profile Subjects | English language requirements | ||
|---|---|---|---|---|---|---|---|
| IELTS | TOEFL | PET/FCE/CAE | |||||
| BBA in Accounting with AI | ENG | 70 | 120 | Geography – 5 Mathematics – 25 |
5.0 | IBT – 35 | PET – 154 FCE – 154 CAE – 160 |
Learning outcomes:
— Required courses —
| Course Title | ECTS |
|---|---|
| General Education Courses (58 ECTS) | |
| History of Kazakhstan | 5 |
| Kazakh/Russian I | 5 |
| Kazakh/Russian II | 5 |
| Cambridge English I | 10 |
| Cambridge English II | 10 |
| Social-Political Knowledge I | 4 |
| Social-Political Knowledge II | 4 |
| Philosophy | 5 |
| Critical Thinking | 5 |
| Information Communication Technologies | 5 |
| School Required Courses (25 ECTS) | |
| Business Communications | 5 |
| Business Ethics | 5 |
| Academic Writing | 5 |
| Introduction to Research Methods | 5 |
| Data Analysis I | 5 |
| Mathematics Required Courses (15 ECTS) | |
| Calculus I | 5 |
| Calculus II | 5 |
| Probabilities & Statistics | 5 |
| Business Core Courses (18 ECTS) | |
| Principles of Accounting | 5 |
| Principles of Finance | 5 |
| Principles of Management | 5 |
| A-Step to Graduate | 3 |
| ACCA Track Courses (45 ECTS) | |
| Corporate Business Law | 5 |
| Financial Accounting I | 5 |
| Financial Accounting II | 5 |
| Financial and Tax Reporting | 5 |
| Corporate Finance | 5 |
| Financial Management | 5 |
| Taxation | 5 |
| Managerial Accounting | 5 |
| Audit | 5 |
| AI Track Courses (59 ECTS) | |
| Introduction to Artificial Intelligence | 5 |
| Introduction to Programming (Python+OOP+DSA) | 5 |
| Generative AI | 4 |
| Machine Learning Fundamentals | 5 |
| Frontend & Backend Dev | 5 |
| Fundamentals of Deep Learning | 5 |
| Basics of Reinforcement Learning | 5 |
| Computer Architecture & Operating Systems | 5 |
| AI Engineering | 5 |
| System Analysis & Design | 5 |
| Databases | 5 |
| Optimization Methods (AI-based) | 5 |
| Internship | 12 |
| Comprehensive Exam/Capstone Project | 8 |