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
38+ 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.
The Diploma in Strategic Management complements your full-time PGDM in Big Data Analytics or Artificial Intelligence & Data Science by developing your understanding of business strategy, management, and organizational decision-making. It helps you connect your technical and analytical knowledge with business priorities, challenges, and opportunities that shape organizations.
The programme covers key management areas, including strategic management, competitive advantage, AI management, business communication, change management, digital transformation, and project management. These learning areas provide a broader perspective on how organizations formulate strategies, navigate change, leverage technology, and pursue sustainable growth.
By combining technical expertise with management knowledge, you can develop a more holistic perspective on business problems, evaluate the business implications of technology-driven solutions, and understand how data, AI, and digital initiatives contribute to organizational objectives.
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