PGDM (Big Data Analytics)
PGDM (AI & Data Science)
AICTE Approved
2 Year Full-time Programmes
Application Guidelines
- Please register using a personal Email ID and Mobile Number.
- Email ID submitted at the time of registration will be used for all correspondences until enrolment is completed. Change in Email ID will NOT be permitted under any circumstances.
- Application Form Fee is Non-Refundable.
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Keep the following documents ready before filling up the application form:
- Latest passport size photograph and scan copy of signature (preferably of size less than 2 MB).
- Scanned copy of (Xth, XIIth and Graduation). Please note that it is the responsibility of the candidate to provide accurate information with regard to academic credentials.
- Work Experience details (if any).
Programme Highlights
IBM Software Lab
Industry-aligned training
200+
Multinational Corporates
37+ Years
Legacy of Adani Group
5+5 Months
Internship & Capstone
Placement Highlights
The PGDM program reflects the booming demand for data analytics and AI expertise, with 86% adoption across analytics and IT sectors. The diverse cohort spans freshers (60%) to experienced professionals (40%), demonstrating how data science skills are essential across all career stages in today's digital-first economy.
Work Experience
Widely Adopted Across Industries
Programme Details
Program Details & Eligibility
PGDM (Big Data Analytics) is an AICTE-approved, two-year programme designed for graduates aiming to excel in the fast-growing Big Data domain.
The first year builds a strong foundation in management and analytics, supported by a Summer Internship for industry exposure. The second year focuses on hands-on learning with advanced big data technologies and relevant tech-management electives. Students further sharpen their skills through independent projects, seminars, and a five-month industry project that strengthens their portfolios and prepares them to tackle real-world challenges with confidence.
Course Curriculum
Eligibility Criteria
- Valid national-level entrance test score as per AICTE norms (CAT / XAT / CMAT / GMAT / MAT / ATMA).
- Bachelor's degree with a minimum of 50% marks (45% for reserved categories) from a recognized university.
- Final-year graduation students are eligible to apply.
- Work experience is not mandatory, but relevant experience offers an added advantage.
Program Details & Eligibility
PGDM (AI & DS) is an AICTE-approved, two-year programme designed to build future-ready leaders in Data Science, AI, Business Analytics, and ML.
First year establishes a solid base in AI, ML, Deep Learning, and Predictive Analytics, supported by a Summer Internship for industry exposure. The second year sharpens expertise with hands-on learning in Gen-AI, RPA, NLP, Data Engineering, and domain-focused tech and management courses. Through independent projects, seminars, and a five-month capstone, students graduate with strong portfolios, real-world skills, and industry confidence.
Course Curriculum
Eligibility Criteria
- Valid national-level entrance test score as per AICTE guidelines (CAT / XAT / CMAT / GMAT / MAT / ATMA).
- Bachelor's degree in BE/B.Tech/M.Tech, B.Sc/M.Sc (IT, Computer Science, Data Science, AI, Cybersecurity, Software Engineering), BCA/MCA, or M.Sc (Maths/Statistics) with minimum 50% marks (45% for reserved categories) from a recognized university.
- Final-year graduation students are eligible to apply.
- Work experience is not mandatory, but relevant experience offers an added advantage.
Top Recruiters
About AIDTM
Adani Institute of Digital Technology Management (AIDTM) transforms visionary ideas into tech-driven impact. With a modern campus, expert faculty, and hands-on learning through internships and capstone projects, we prepare students for future-ready careers. Since 2020, AIDTM has been producing industry-ready talent in Big Data Analytics and AI & Data Science, welcoming both technical and non-technical students. Big Data Analytics enhances decision-making through predictive, descriptive, and prescriptive analytics, while AI & Data Science builds skills in Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, and AI-Cloud integration.
