Dual Degree PGDM AI & Data Science + Diploma in Strategic Management: Course, Eligibility, Fees & Career Scope

A student choosing an AI course today has a different problem from someone making the same decision a few years ago. There are more programmes, more job titles, and far more noise around the subject. That makes the course title less useful than the details behind it.

A PGDM in Artificial Intelligence and Data Science is best understood as a technical management programme. You learn how data is prepared, how models are built, where AI is used inside a business and how the result should be communicated to people making decisions.

Key Takeaways

• AIDTM’s Dual Degree PGDM AI & Data Science + Diploma in Strategic Management runs for two years full-time and has a sanctioned intake of 60.
• Applicants need a relevant technical or quantitative degree with at least 50% marks, or 45% for reserved categories.
• CAT, XAT, CMAT, GMAT, MAT and ATMA are accepted under the current admission criteria.
• The 2027–29 programme fee is Rs. 10 lakh, plus a refundable caution deposit of Rs. 50,000.
• The curriculum covers Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, Data Engineering and Cloud Computing, along with management learning.

Course Structure and What You Study

The programme starts with the foundation required for advanced AI work.

In the first year, students study Artificial Intelligence, Data Science, Machine Learning, Deep Learning and predictive analytics. A summer internship follows, giving students the chance to apply what they have learned outside the classroom.

The second year moves into areas such as Generative AI, Natural Language Processing, Data Engineering and modelling. Students also complete independent work and a five-month capstone.

The structure matters because AI work is rarely one isolated technical task. A student may need to clean data, choose a model, test the result and then explain what the result means for a business team.

PGDM AI & Data Science Eligibility at AIDTM

The eligibility is specific. A general bachelor’s degree does not automatically qualify a student.

This makes the programme suitable for BCA, MCA, engineering, relevant B.Sc/M.Sc and Mathematics or Statistics graduates.

A general B.Com degree is not listed under the current eligibility. Commerce graduates interested in analytics can compare AIDTM’s Dual Degree PGDM Big Data Analytics + Diploma in Strategic Management, which has broader graduation eligibility.

Entrance Exams and Admission

AIDTM currently accepts CAT, XAT, CMAT, GMAT, MAT and ATMA.

The entrance score forms one part of admission. Students should use the current policy for their batch because selection parameters can change.

Fresh graduates can apply. Work experience is optional.

Final-year students are also eligible, but admission remains subject to completing the qualifying degree and meeting the marks requirement.

PGDM AI & Data Science Subjects

The current curriculum covers both foundational and advanced areas.

Students begin with Mathematical Foundations for AI & DS, Statistical Learning and Exploratory Data Analysis. The technical core includes Foundation AI & ML, Machine Learning, Deep Learning and Reinforcement Learning.

The programme also covers Natural Language Processing, Computer Vision and Speech Recognition. Current course material includes Gen-AI & Large Language Models and Prompt Engineering as well.

Data Engineering, Cloud Computing Essentials, Internet of Things and Data Science and Big Data Technologies cover the infrastructure side. Management and communication subjects include Business Management, Data Intelligence and Analytics, and Professional Communicative English.

The subjects are connected. A model cannot be useful if the data is poor, the problem is unclear or the result cannot be explained to the people who need it.

How Technical Is the Programme?

Students should expect regular technical work.

Python, statistics, data handling and model-building are part of the course. Students also need to understand data quality, model behaviour and why a result may fail in a real business setting.

Different degrees create different starting points. A BCA student may find programming easier. A Mathematics graduate may be more comfortable with probability and statistics. An engineer may already be used to technical problem-solving.

Before joining, it helps to revise basic statistics and Python. Familiarity with tabular data and basic SQL can make the first term easier.

Internship and Capstone Work

Projects matter because AI interviews often become practical very quickly.

AIDTM includes a summer internship and a five-month capstone in the programme structure.

A strong project should be easy to explain. What was the problem? What data was used? Which method was chosen? How was the result measured?

Projects may involve forecasting, customer behaviour, text analysis, Computer Vision or a Generative AI workflow.

The capstone can also help students understand which type of role suits them. Some enjoy model-building and coding. Others prefer interpreting results and working with business teams.

PGDM AI & Data Science Fees for 2027–29

The published fee schedule is:

The programme fee includes study material, books, library charges and internet charges.

Hostel, mess and living expenses are separate. Students comparing colleges should calculate the full two-year cost rather than looking only at tuition.

Career Scope After PGDM AI & Data Science

The programme can lead to technical, analytical and business-facing roles.

AIDTM currently lists career directions such as Data Scientist, AI/ML Engineer, Data Architect, NLP Developer, Business Analyst in Artificial Intelligence, Business Consultant and AI Solution Leader.

The work behind these titles varies. A Data Scientist may focus on analysis and modelling, while an AI/ML Engineer usually works more closely with code and deployment. Business-facing roles involve more interpretation and coordination.

The final role depends on technical depth, previous education, internship work and capstone quality.

Industries Using AI and Data Science

AI is used differently across sectors. Banks may work on risk and fraud, retailers on customer behaviour, and manufacturers on equipment data.

AIDTM lists sectors such as e-commerce, healthcare, banking and finance, manufacturing, insurance, retail, consulting, IT, telecom, automobile, government and media. Domain knowledge becomes useful once the technical base is in place.

Choosing a Top College in India for PGDM AI

Compare colleges on evidence: current AICTE approval, eligibility, the latest curriculum, internship and capstone structure, full two-year cost and current placement information.

Speaking with present students about coding workload, projects and faculty support can tell you more than a ranking phrase or promotional claim.

PGDM AI & Data Science at AIDTM

At AIDTM in Gandhinagar, the Dual Degree PGDM AI & Data Science + Diploma in Strategic Management is AICTE approved and runs for two years full-time. The sanctioned intake is 60 for 2027–29.

The programme combines AI, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, Data Engineering and Cloud Computing with management learning.

Students also complete a summer internship and a five-month capstone.

For the 2027–29 batch, the published programme fee is Rs. 10 lakh plus a refundable Rs. 50,000 caution deposit.

The Bottom Line

PGDM AI & Data Science can suit graduates who already have a technical or quantitative base and want to move toward AI, Data Science or technology-led business roles.

The course is a better fit for students who are comfortable with code, numbers and data, but who also want to understand how that work is used inside an organisation.

Before applying, check three things first: eligibility, the current curriculum and the complete two-year cost. Those three points will tell you far more about fit than the course title alone. For the 2027–29 admission process, visit AIDTM’s admissions page.

Frequently Asked Questions

Can a BCA student do PGDM in AI & Data Science?

Yes. BCA is currently listed among the eligible academic backgrounds at AIDTM. Applicants also need the required marks and a valid score from an accepted entrance test.

Can a B.Com graduate apply for PGDM AI & Data Science?

A general B.Com degree is not included in the current eligibility list for this programme. Commerce graduates can compare the PGDM in Big Data Analytics, which has broader graduation eligibility.

Which entrance exams are accepted for PGDM AI at AIDTM?

The current admission criteria accept CAT, XAT, CMAT, GMAT, MAT and ATMA.

What is the fee for PGDM AI & Data Science at AIDTM?

For the 2027–29 batch, the published programme fee is Rs. 10 lakh. A refundable caution deposit of Rs. 50,000 is payable separately.

What jobs are available after PGDM AI & Data Science?

Career directions can include Data Scientist, AI/ML Engineer, Data Architect, NLP Developer, Business Analyst, AI Consultant and other AI or analytics roles. The final role depends on skills, project work and previous academic background.