Eligibility Criteria: Demonstrated proficiency in mathematics, statistics, and programming (e.g., Python, R), supported by transcripts or professional experience.
Language Requirements: Proof of English proficiency (e.g., IELTS, TOEFL) as per European university standards.
Additional Requirements: Statement of purpose, CV, and two academic/professional references.
The Master of Science in Artificial Intelligence (AI) and Business Analytics at Innoversity is a rigorous, interdisciplinary graduate program designed to equip students with advanced skills in AI technologies and data-driven business decision-making. Tailored for aspiring professionals and researchers, the program integrates theoretical foundations with practical applications, ensuring graduates are prepared for impactful careers in industry, research, and entrepreneurship. The curriculum is developed in accordance with European Higher Education Area (EHEA) guidelines and is suitable for affiliation with European universities.
o Develop expertise in AI methodologies, machine learning, and data science.
o Apply analytical techniques to real-world business challenges.
o Foster innovation, ethical awareness, and entrepreneurial skills in digital transformation contexts.
o Prepare graduates for leadership roles in academia, industry, and public sectors.
o Bachelor’s degree holders in Computer Science, Engineering, Mathematics, Economics, Business, or related disciplines.
o Early-career professionals seeking to specialize in AI and analytics.
o International students aiming for a European-standard qualification.
AI and business analytics are pivotal to digital transformation in modern organizations. This MS program addresses the growing demand for professionals capable of leveraging intelligent systems and data analytics to drive strategic decisions, innovation, and competitive advantage in a global economy.
Semester | Core Modules (ECTS) | Electives (ECTS) | Thesis / Project (ECTS) | Internship / Industry (ECTS) | Total ECTS |
Semester 1 | 24 | 6 | 0 | 0 | 30 |
Semester 2 | 18 | 12 | 0 | 0 | 30 |
Semester 3 | 6 | 12 | 6 | 6 (optional) | 30 |
Semester 4 | 0 | 0 | 30 | 0 | 30 |
Total | 48 | 30 | 36 | 6 (optional) | 120 |
o Fundamentals of Artificial Intelligence (6 ECTS)
o Machine Learning Principles and Applications (6 ECTS)
o Data Science and Big Data Analytics (6 ECTS)
o Business Analytics and Decision Support Systems (6 ECTS)
o Programming for AI and Analytics (Python/R) (6 ECTS)
o Statistical Methods for Data Analysis (6 ECTS)
o Applied Optimization and Operations Research (6 ECTS)
o AI in Business Processes (6 ECTS)
o Advanced Deep Learning (6 ECTS)
o Natural Language Processing (6 ECTS)
o AI Ethics and Responsible Innovation (6 ECTS)
o Entrepreneurship and Digital Business Models (6 ECTS)
o Financial Analytics and Risk Management (6 ECTS)
o Industry 4.0 and IoT Analytics (6 ECTS)
o Customer Analytics and Marketing Intelligence (6 ECTS)
o Choose electives to total 30 ECTS; subject to approval and availability.
o Research Thesis (30 ECTS): Independent research on AI and business analytics, culminating in a written dissertation and oral defense.
o Capstone Project (6 ECTS, Semester 3): Applied project with industry or academic supervision, integrating learned skills in a practical setting.
o Optional internship or industry collaboration in Semester 3, providing hands-on experience and professional networking.
o Internship may substitute one elective module with academic approval.
o Assessment includes performance review, reflective report, and supervisor evaluation.
o Examinations: Written and oral exams for theoretical modules.
o Coursework: Assignments, case studies, presentations, and laboratory work.
o Project Evaluation: Assessment of capstone project and thesis by faculty and external examiners.
o Continuous Assessment: Participation, quizzes, and practical exercises.
The program comprises 120 ECTS credits, reflecting the European norm for two-year master’s degrees. One ECTS credit corresponds to 25–30 hours of student workload, including contact hours, self-study, and assessment activities. The curriculum is structured to ensure compatibility with the Bologna Process, facilitating recognition and mobility across European universities.
o Curriculum reviewed and accredited in accordance with European quality assurance agencies.
o Learning outcomes and assessment criteria mapped to the European Qualifications Framework (EQF) Level 7.
o Regular program evaluation through stakeholder feedback, external examiners, and benchmarking against leading European institutions.
o AI Specialist, Data Scientist, Business Analyst
o Digital Transformation Consultant
o Product Manager, Innovation Lead
o Researcher, PhD Candidate
o Entrepreneur in technology-driven ventures
The MS in AI and Business Analytics at Innoversity offers a robust, European-standard graduate education, blending cutting-edge technology with strategic business acumen. Graduates will be equipped for diverse career paths in industry, consultancy, academia, and entrepreneurship, contributing to digital transformation and innovation in global markets.
As the Super Admin of our platform, I bring over a decade of experience in managing and leading digital transformation initiatives. My journey began in the tech industry as a developer, and I have since evolved into a strategic leader with a focus on innovation and operational excellence. I am passionate about leveraging technology to solve complex problems and drive organizational growth. Outside of work, I enjoy mentoring aspiring tech professionals and staying updated with the latest industry trends.
Admission Fee of Rs 30,000 is payable once at the time of admission. If a graduate of this University is admitted to a higher degree program, then admission fee is not payable again.
A refundable security deposit of Rs 20,000 is also payable at the time of admission.
Tuition Fee is payable in full before the start of each semester. Annual revision will be applicable as per University Internal Rules. For the academic year 2026-27 the tuition fee per credit hour applicable to all batches is as follows:
| Program | Fee |
|---|---|
| BBA / BS | Rs. 12,000 |
| MBA / MS | Rs. 12,000 |
| PhD | Rs. 12,000 |
To support co-curricular and extra-curricular activities a Student Activities Fund has been formed. Students contribute Rs 2,500 (w.e.f. Fall 2024 semester) towards Students Activities Fund per semester.
| Additional Transcript Fee | Rs. 300 |
| Campus Transfer Fee | Rs. 5,000 |
| Temporary Campus Transfer Fee | Rs. 2,000 |
| Degree Correction Fee | Rs. 2,000 |
| Semester Freeze Fee (within two weeks of start of classes) | Rs. 2,000 |
| Late Registration Fee/Freeze Fee/Course Withdrawal (After second week of start of classes) | 5,000 |
| Retake Sessional Exam Fee (Per Course) | Rs. 2,000 |
| Retake Final Exam Fee (Per Course/Lab) | Rs. 2,000 |
| Paper Rechecking Fee (Per Course/Lab) | Rs. 500 |
| Issuance of Certificate/Letter Fee | Rs. 300 |
| Applicant Admission Fee | Rs. 3,000 |
| These fees are non-refundable. | |
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