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Accounting with AI

Description

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:

  • Apply fundamental knowledge of accounting and information technologies to solve organizational and financial challenges.
  • Apply AI technologies to prepare, analyze, and interpret financial statements in accordance with international accounting and reporting standards.
  • Apply management accounting techniques to support planning, budgeting, cost management, performance evaluation, and strategic decision-making.
  • Demonstrate knowledge of auditing principles, internal controls, risk management, and corporate governance practices.
  • Utilize accounting information systems, enterprise resource planning (ERP) systems, and digital technologies to manage financial information effectively.
  • Analyze financial and business data using statistical, analytical, and artificial intelligence tools to support managerial and strategic decisions.
  • Apply artificial intelligence, machine learning, and automation technologies to accounting, auditing, financial reporting, fraud detection, and business analytics processes.
  • Evaluate the quality, reliability, and effectiveness of accounting and AI-based solutions while ensuring compliance with professional and regulatory requirements.
  • Identify and assess financial, operational, and technological risks and develop appropriate recommendations for risk mitigation.
  • Develop and present effective visual representations of data to facilitate stakeholder understanding and interpretation of data-driven results.
  • Communicate accounting, financial, and analytical information effectively to both technical and non-technical stakeholders through written, oral, and digital formats.
  • Work effectively in multidisciplinary and multicultural teams, demonstrating leadership, collaboration, and professional responsibility.
  • Develop practical recommendations and innovative solutions for accounting, auditing, and financial management challenges through the integration of accounting expertise and artificial intelligence technologies.
  • Consider legal, ethical, and societal implications of artificial intelligence and digital technologies in accounting and financial decision-making.
  • Demonstrate critical thinking, problem-solving abilities, information literacy, and lifelong learning skills necessary for professional development.
  • Demonstrate knowledge and skills in information technology, ecology, life safety, inclusion, and sustainable development principles within professional and organizational contexts.

Programme structure

— 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
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Нарикбаев Талгат Максутович
Председатель Правления АО «Университет КАЗГЮУ имени М.С. Нарикбаева»
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