M.Sc. – Artificial Intelligence and Data Science
Dive into the world of machine learning, big data, and AI-driven innovation, geared for those aiming to lead breakthroughs in the digital age through the M.Sc. in Artificial Intelligence and Data Science program at Indira University!
Study Mode
Full Time
Duration
2 Years
Commencement
July 2026
Assessment
Semester
Location
School of Information Technology, Indira University, Tathawade, Pune
Overview
The M.Sc. in Artificial Intelligence and Data Science, a specialized postgraduate program offered by Indira University, aims at developing advanced analytical and computational intelligence skills. This program focuses on transforming data into strategic insights through modern AI and data-driven technologies. Students learn to design intelligent models, develop predictive algorithms, and implement scalable data systems using tools such as Python, TensorFlow, and big data frameworks.
The curriculum combines research-oriented study with industry exposure, encouraging innovation in fields like robotics, autonomous systems, and cognitive computing. Emphasis is placed on ethical AI practices, real-world problem solving, and interdisciplinary learning. Through hands-on projects, seminars, and collaborations with industry experts, students gain the technical and strategic expertise needed to address complex business and societal challenges. Graduates emerge as proficient experts with a master’s degree in AI and Data Science, ready to lead in sectors such as technology, finance, healthcare, and research-driven enterprises.
Why pursue M.Sc. - Artificial Intelligence and Data Science with Indira University?
Testimonials
Diana Alexanderi,
Dynacare, LLP , Project Management Coordinatorr
Hello My name is Diana, I was part of Placement cell at Indira in 2008-09. Being in the placement cell was like having that job that prepares you for future job you want to go and get. It was that perfect bridge for me that could be a transition from a student into a responsible human being.
Working in Placement Cell and talking about the big companies and different industries was so amazing because it was an eye-opening experience for me. Being a part of placement team, it was always a best learning experience as we used to have interaction with corporate representatives and came to know about the work culture thereat, briefly.
Gautam Roy,
Zurich Insurance Group, Sr. Big Data Engineer
My five years journey at ICCS started from an average student and groomed me into a highly skilled professional. It has also been a great contributor to the development of my personality. Huge respect, love and devotion for all my highly skilled teachers; it’s their efforts that make me to count myself into better professionals internationally today!
The infrastructure of ICCS is one of the finest in Pune and the best thing about it is the cross-culture interaction between students from various parts of the world. I will always be grateful to them for providing me a platform of practical learning and preparing me for the corporate life
Sharif Malik,
CATHAGO, Germany, Cofounder and CTO
Its my privilege to be a part of this prestigious college, ICCS. My life took a wonderful twist when I stated my journey here. I gained confidence, knowledge and also learnt the art of giving back to society and sharing my knowledge to my juniors. Whenever I come to the campus, I feel utmost happiness and pleasure and feels like coming back to my home.
Overview
The master’s degree in AI and Data Science equips you with advanced expertise in contemporary artificial intelligence and data science technologies, mastering machine learning, deep learning, big data processing and cutting-edge methodologies. You will engage in hands-on learning through live projects, rigorous research and applied problem-solving that mirrors real-world challenges. With emphasis on innovation and research, you will be encouraged to explore intelligent systems and contribute original solutions that make meaningful impact. Industry integration is ensured through internships, expert talks and collaborative ventures, that connect you with current practices and open doors to professional networks.
Alongside technical depth, we build future-ready skills in analytics, leadership and strategic thinking, ensuring you are prepared for evolving demands in the digital age. Ethical and sustainable AI is a core focus, where you learn to design human-centred, responsible solutions. Global opportunities await as you prepare for dynamic roles and research pathways in AI-driven industries, whether you aim for an advanced career, doctoral studies or leadership positions.
Curriculum
| SEMESTER I | ||
|---|---|---|
| Nature of the Course | Title | Credits |
| Major Mandatory | Fundamentals of Data Science with Python Programming | 2 |
| Major Mandatory | Lab course based on 26PAD101T | 2 |
| Major Mandatory | Statistical Methods for AI & Data Science | 2 |
| Major Mandatory | Mathematical Methods for AI & Data Science | 2 |
| Major Mandatory | Enterprise Database Systems | 2 |
| Major Mandatory | Lab course based on 26PAD103T | 2 |
| Indian Knowledge System (Generic) | Introduction to Indian Knowledge Systems (IKS) | 2 |
| Value Added Course | Policy, Governance & Leadership in Action | 1 |
| Major Elective | Data Preparation and Analysis | 2 |
| Lab course based on 26PAD106T | 2 | |
| OR | ||
| Major Elective | Data Storage Technologies and Networks | 4 |
| Research Methodology | Research Methodology | 4 |
| Total | 23 | |
| SEMESTER II | ||
|---|---|---|
| Nature of the Course | Title | Credits |
| Major Mandatory | Data Warehousing and Mining | 4 |
| Major Mandatory | Data-Driven Machine Learning | 2 |
| Major Mandatory | Advanced Data Structures and Algorithms | 2 |
| Major Mandatory | Lab course based on 26PAD202T | 2 |
| Major Mandatory | Lab course based on 26PAD203T | 2 |
| University Course | Decoding AI | 1 |
| SOUL | 1 | |
| Value Added Course | Technology, Policy & Digital Impact Lab | 1 |
| Elective | Big Data [Theory & Practical] | 4 |
| Deep Learning [Theory & Practical] | 4 | |
| Major Mandatory | Project | 4 |
| Total | 23 | |
| SEMESTER III | ||
|---|---|---|
| Nature of the Course | Title | Credits |
| Major Mandatory | Data Visualization and Analytics | 4 |
| Major Mandatory | Generative AI and Large Language Models | 4 |
| Major Mandatory | Lab course based on 26PAD301T | 2 |
| Major Mandatory | Adaptive Intelligence Systems | 2 |
| Major Mandatory | Business Analytics | 2 |
| University Course | Essentials of Sustainability | 2 |
| Elective | Human Computer Interaction [Theory & Practical] | 2 |
| Embedded System and Internet of Things (IoT) [Theory & Practical] | 2 | |
| Research Project | Research Project | 4 |
| Total | 22 | |
| SEMESTER IV | ||
|---|---|---|
| Nature of the Course | Title | Credits |
| Major Mandatory | Full Time Industrial Training (IT) | 16 |
| Research Project | Research Project | 6 |
| Total | 22 | |
Pedagogy and Learning Methodology
Our program emphasizes hands-on learning with real-world datasets drawn from diverse domains, using AI, machine learning and data analytics tools to turn theory into action. The project-based approach ensures students engage in live projects, simulations and case studies that build practical problem-solving skills. With a strong research and innovation component, learners explore advanced AI applications and data-driven solutions to complex challenges. Industry exposure through internships, workshops and expert sessions brings current technology trends into the classroom. Analytical thinking is developed via collaborative assignments and strategic assessments, and the focus on ethical and responsible AI ensures attention to data privacy and fairness. A holistic support system encompasses mentorship, peer learning and communication skill-building.
Key Points:
- Hands-On Learning
- Project-Based Approach
- Research & Innovation
- Industry Exposure
- Analytical Thinking
- Holistic Development
- Ethical & Responsible AI
Industry Immersion
Industry immersion provides postgraduate students with real-world exposure through internships, live projects, and collaborations with leading tech companies. Students gain hands-on experience in AI model deployment, big data analytics, and enterprise solutions. The master’s degree in AI and Data Science program bridges academic learning with industry practices, ensuring graduates are skilled, innovative, and career-ready.
IT Industrial Visits
As part of its commitment to bridging the gap between academic learning and industry practice, Indira University organizes regular Industrial Visits to the IT Sector for its students. These visits are a key component of the curriculum, offering students the chance to explore real-world applications of their studies and gain invaluable insights into the technology industry.
PCMC Cyber Threats Collaboration
As part of its ongoing efforts to enhance cybersecurity awareness and preparedness, Indira University has initiated an exciting partnership where its Cyber Students work closely with PCMC to tackle pressing cyber threats and promote safe online practices.
Partnerships with Firms and Government
With the increasing importance of securing digital data, partnerships with leading cybersecurity firms or government agencies can offer students hands-on experience in identifying, preventing, and responding to cyber threats.
Industry Readiness Program
Tie-ups with training institutes and industry leaders are done to provide students with hands-on training, exposure to industry practices, and essential soft skills required for a successful career in technology. The Industry Readiness Program will help bridge the gap between academic learning and real-world demands, ensuring that students graduate with industry-ready skills.
Project Guidance Program
In its ongoing efforts to bridge the gap between academic learning and industry requirements, Indira University has a Project Guidance Program, where PG students work closely with industry experts on real-time projects. This collaboration ensures that students not only gain practical knowledge but also develop the skills and expertise required to succeed in today’s fast-paced job market.
Exposure Trips
Indira University’s exposure trips focus on advanced industry engagement and research exploration. Students visit AI-driven enterprises, specialized research centers, and data analytics firms, observing enterprise-level strategies and cutting-edge innovations in machine learning, big data, and cloud computing. These experiences enhance practical knowledge, networking opportunities, and leadership readiness, complementing rigorous academic training. Graduates emerge industry-ready, equipped for global opportunities in AI and Data Science.
Summer School Program
Indira University collaborated with Synergy University in Moscow and Cox & Kings Financial Services Ltd to provide students with a unique Summer School Program. This initiative offered global exposure through workshops, interactive sessions, and cultural exchanges, enhancing students’ understanding of international business practices, communication trends, and cross-cultural management. Participants gained valuable insight into global markets while networking with peers and professionals abroad, broadening their academic and cultural perspectives.
Study Tour and MOU
As part of its mission to deliver globally aligned education, Indira University conducted a study tour to Asia Pacific University in Kuala Lumpur. The tour allowed students to explore academic innovations and technological advancements in Malaysia. During the visit, an MOU was signed to implement training programs in Information Technology, Commerce, and Management. This partnership ensures students receive international academic inputs, skill-building workshops, and hands-on learning experiences, preparing them for global careers.
India Science Congress Association (ISCA)
Demonstrating a strong research orientation, students from Indira University actively participated in the India Science Congress Association (ISCA). They presented research papers and posters on emerging topics across science, technology, and innovation. This exposure helped them develop critical thinking, presentation skills, and the confidence to contribute to scholarly discussions. It also provided a platform to engage with experts, researchers, and academicians from across the country, fostering a research-driven mindset.
Mahabaleshwar Green Tour
In alignment with its sustainability goals, Indira University organized a Green Tour to Mahabaleshwar. This educational excursion allowed students to explore eco-tourism initiatives, organic farming practices, and environmental conservation efforts in the region. Alongside academic enrichment, the tour aimed to instill a sense of ecological responsibility and promote well-being. Students also had the opportunity to bond with peers, reflect on environmental issues, and enjoy nature’s tranquility, making learning holistic and memorable.
Career Opportunities
A master’s degree in AI & DS offers diverse and high-growth career opportunities across technology, healthcare, finance, and education sectors. M.Sc. Artificial Intelligence and Data Science professionals can pursue roles such as Data Scientist, Machine Learning Engineer, AI Engineer, and Data Analyst, focusing on intelligent system development and data-driven innovation. With the future of technology being increasingly AI and data science-oriented, this program provides a strong foundation for long-term career success. Specialized paths include NLP Specialist, Computer Vision Engineer, and AI Product Manager, while research and academic roles also offer excellent prospects in shaping the next generation of intelligent solutions and technologies.
The career opportunities for the students of artificial intelligence and data science include:
Data Scientist
Machine Learning Engineer
AI Engineer
Data Engineer
Business Intelligence (BI) Analyst
Data Analyst
AI Product Manager
Natural Language Processing (NLP) Specialist
Computer Vision Engineer
Robotics Engineer
AI Research Scientist
Data Science Consultant
AI Solutions Architect
AI Ethics & Policy Specialist
Healthcare Data Analyst / AI Specialist
Overview
The admission process at Indira University is designed to be simple and transparent. Every step, from registering and filling out the form to submitting and paying the fee, is clearly defined. Applicants know exactly what to expect, which creates a smooth and stress-free experience for those applying to different programs.
Bachelor of Computer Science (BCS)
Or
B.Sc. (Computer Science)
Or
Bachelor of Engineering(BE) in Computer Science/Information Technology/Electronics and Telecommunication /AI and Data Science/AI and Machine Learning/ equivalent.
Or
B.Sc. in IT
Or
B.Sc. in Entire Computer Science
Or
B. Voc. in Software Development/ Information Technology
Or
B.Sc. degree with Computer Science as the Principal subject
Or
Computer Science as one of the subject at T. Y. B. Sc. level for student with general B.Sc.
Or
B.Sc. (Cyber Security)
Or
B.Sc. (Data Science)
Or
B.Sc. Artificial Intelligence & Machine Learning (AI & ML)
Or
B.Sc. (Cloud Computing)
Or
B.Sc. (Mathematics)
Or
B.Sc. (Statistics)
Or
BCA (12th Science with Mathematics Subject)
WITH 50% marks and 45% marks for Reserved Category.
AND
Non-zero score in Indira CET (PG)
Scholarships
Indira University is committed to making education accessible to everyone, regardless of financial background. Our scholarships are designed to break down economic barriers so that deserving students can focus fully on their studies and future goals. These awards cover a broad range of needs – merit-based waivers, need-based assistance, and special categories, ensuring that ambitious learners get the support they deserve. With these scholarships, students can build their future with confidence, knowing that finances will not stand in the way of their academic journey.
M.Sc. in Artificial Intelligence and Data Science is a postgraduate program that focuses on advanced concepts of machine learning, data analytics, artificial intelligence, and intelligent systems. It combines theoretical learning with practical applications such as predictive modelling, automation, and data-driven decision-making, preparing graduates to solve complex real-world problems across industries.
For admission at Indira University, candidates must hold a relevant bachelor’s degree such as B.Sc. Computer Science, B.Sc. IT, BCA, Engineering (CS/IT or related fields), Mathematics, Statistics, or equivalent, with the required minimum aggregate marks. Applicants must also have a valid, non-zero score in Indira CET (PG).
Yes, an M.Sc. in AI and Data Science is worth pursuing due to the increasing use of AI and data analytics across sectors like IT, finance, healthcare, manufacturing, and research. The program equips students with advanced technical and analytical skills that support long-term career growth in high-demand technology roles.
Graduates of M.Sc. AI and Data Science typically earn entry-level salaries ranging from ₹4–6 LPA, depending on skills, role, and industry. With experience and specialization in areas such as machine learning, big data, or AI engineering, professionals can progress to higher-paying roles both in India and internationally.
Pune and Pimpri–Chinchwad have multiple institutions offering M.Sc. AI and Data Science. Indira University’s School of Information Technology is a strong choice due to its industry-relevant syllabus, emphasis on practical AI and data science applications, modern laboratory facilities, and a learning approach designed to meet current technology and industry expectations.
The admission process at Indira University includes meeting eligibility criteria, submitting the online application, paying the application fee, appearing for Indira CET (PG), checking the merit list, receiving the admission offer, confirming admission, and joining the program as per the academic schedule.
The future scope of M.Sc. Artificial Intelligence and Data Science is strong due to rapid digital transformation and AI adoption. Graduates can work in analytics, automation, AI development, and research roles across industries, with opportunities for global careers, leadership positions, and further specialization in emerging AI technologies.