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Post Graduate Program
in Data Science & ML with GenAI

Learn ML, Big Data, ETL, SQL, Visualization, and Generative AI with hands-on projects and industry-aligned case studies.

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An Overview

12 Months

Program Duration

4 Terms

Academic Structure

48

Total Credits

11 Courses

Total Courses

Online

Mode of Delivery

Graduate*

Eligibility

PGP in Data Science & ML
with Generative AI

Mode: Online (Recorded + Live Lectures) • Duration: 12 months • Terms: 4 • Credits: 48

KIIT Campus

Overview

The Post Graduate Program (PGP) in Data Science & Machine Learning with Generative AI is a 12-month, industry-aligned program designed to equip learners with the latest tools and applications in AI, ML, and Data Analytics. The curriculum blends foundational mathematics, machine learning, big data processing, ETL pipelines, SQL, Tableau, Power BI, and Generative AI applications, preparing participants for real-world problem-solving.

Delivered in a flexible, online/hybrid mode, the program combines hands-on projects, case studies, and guided mentoring to ensure practical expertise. Graduates emerge career-ready for roles across data science, analytics, AI, and emerging GenAI domains.

Objective

1

Build Strong Foundations – Develop expertise in mathematics, statistics, and core data science principles to solve real-world problems.

2

Master Advanced AI & ML – Gain hands-on experience in ML, Big Data, Visualization, and Generative AI applications.

3

Enable Industry Readiness – Prepare learners for high-impact careers through projects, tools, and case studies aligned with industry practices.

Elevate Your Learning Journey with KiiTX

Learning Journey

AI-Powered LMS

AI Driven Technology for online learning. Engaging videos, e-books, e-notes, web links, live sessions, forums, self-tests, assignments.

Industry-Aligned Curriculum

Courses designed to meet current industry demands and future trends.

Campus Immersion

Forge lasting connections with faculty and peers through enriching on-campus events that blend learning with networking.

Global Alumni Network

Benefit from lifelong connections with a global network of 100,000+ successful KIIT alumni shaping industries worldwide.

Career Assistance and Support

Access mentors anytime and enhance your career with workshops on interviews, resumes, and group discussions.

Scholarship Opportunities

Recognizing excellence and supporting diverse backgrounds (merit, defense, government, differently-abled, achievements).

Program Curriculum

48 Credits
Total Credits
11 Courses
Total Courses
10 Labs
Practical Sessions
1 Capstone Project
Final Project
12 months
Program Duration
4 terms
Academic Terms

1st Term (12 Credits)

  • Mathematics for ML & Data Science (4+0)
  • Introduction to Data Science (3+1)
  • Data Structures and Algorithms (3+1)

2nd Term (12 Credits)

  • Machine Learning (3+1)
  • Database Management with SQL and Pandas (3+1)
  • Deep Learning & Neural Networks (3+1)

3rd Term (12 Credits)

  • ETL & Data Pipeline (3+1)
  • Big Data Processing (3+1)
  • Data Mining & Data Warehousing (3+1)

4th Term (12 Credits)

  • Generative AI with LLMs (3+1)
  • Data Visualization and Storytelling (0+2)
  • Time Series (1+1)
  • Capstone Project (0+4)

Master Industry-Leading AI & ML Tools

Tool / LibraryPurposeModule
NumPyNumerical computing & array operationsFoundation Mathematics
PandasData manipulation & analysisDatabase Management with SQL & Panda
Matplotlib / Seaborn / PlotlyData visualizationFoundation & ML Modules
Scikit-learnMachine learning algorithmsMachine Learning
TensorFlowDeep learning frameworkDeep Learning, LLM, Generative AI
PyTorchAdvanced deep learning & researchDeep Learning, LLM, Generative AI
KerasHigh-level neural network APIDeep Learning
NLTK / spaCyNatural Language Processing (NLP)Natural Language Programming
Hugging Face TransformersPre-trained NLP & LLM modelsLLM, Generative AI
LangChainAgentic AI & LLM orchestrationAgentic AI
OpenAI APIGenerative AI capabilitiesGenerative AI
SQLDatabase queryingDatabase Management
Google Colab / JupyterCoding & experimentation environmentAll Modules
Git & GitHubVersion control & collaborationAll Project Work
VS CodeIntegrated development environment (IDE)All Modules
Tableau / Power BIInteractive dashboards & data insightsProject, Data Visualization
DockerAI model deployment & containerizationProject
MLflowExperiment tracking & model lifecycle managementProject

Eligibility Criteria

  • Bachelor's degree (B.E. / B.Tech./ B.Sc / B.Com. / B. Voc./ BCA etc.,) with Mathematics* at 10+2 level or Graduation level. *Mathematics/ Statistics/ QT/ Business Mathematics
  • Fresh graduates or final year graduation students
  • Applicants must possess sufficient knowledge and understanding of the English Language.
Woman working on laptop

Prospective Aspirants

Working Professionals

in IT, software development, analytics, data science, and finance seeking career growth in AI-driven roles.

STEM Graduates & Early Career Aspirants

from engineering, computer science, mathematics, statistics, or commerce aiming to build careers in AI, ML, and GenAI.

Business Analysts, Managers & Decision Makers

professionals leveraging data-driven insights and generative AI for smarter strategies.

Tech Entrepreneurs & Innovators

start-up founders and business leaders harnessing AI to create disruptive products and services.

Researchers & Academics

exploring Agentic AI, data science, and GenAI applications for advanced study and publications.

Career Switchers

professionals from non-technical domains aspiring to transition into data science, ML, and GenAI careers.

Start your learning journey today!

Online Orientation

Attend orientation sessions to familiarize yourself with the program, university policies, and resources.

On-Campus meet

Meet your peers and Faculty in an on-campus meet event.

Academic Progress

Attend live/recorded classes, study e-Content, complete assignments, and maintain strong performance.

Utilize Resources

Utilize library resources at the Bhubaneswar campus, online learning tools, and academic support services to enhance learning.

FeeStructure
Admission fee
INR 1,450
*Inclusive of all taxes
Semester Course fee
INR 55,000
*Inclusive of all taxes
Total Course fee
INR 110,000
*Inclusive of all taxes

Important note for Online Fee Payments

  • Pay ONLY via official links on kiitx.kiit.ac.in.
  • Do NOT pay unauthorized individuals or through unofficial links/QR codes/websites.
  • The University is not liable for payments outside the official platform.
  • The semester fee includes the examination fee for that semester; the admission fee is non-refundable and not included.

Scholarship & Concession

Scholarship

CategoryScholarship*Eligibility / Documents
Merit (80% and above in bachelor's degree)10%Marksheet
National/International level achievements10%Verifiable National/International level achievements in Sports, R & D, Social Science, Cultural and Co-curricular activities
* T&C applied, For details visit kiitx.kiit.ac.in

Concession

CategoryConcession*Eligibility criteria
Upfront payment12%Upfront payment of full UG program fee
Upfront payment8%Upfront payment of full PG program fee
Upfront payment5%Upfront payment of annual fee
KIIT Alumni20%UG/PG alumni card of KIIT
Divyaang (For persons with disabilities)20%Divyaang certificate
Indian Defense personnel20%Minimum 2 years of service in the defence forces with a valid Identity Card number
Government employees10%Employee Identity card issued by Indian Central Government/ Odisha Government
* T&C applied, For details visit kiitx.kiit.ac.in
Potentialcareer paths

Core AI/ML Roles

  • Data Scientist / Machine Learning Engineer – Designing and deploying predictive and AI-driven models
  • AI Engineer / Generative AI Specialist – Building applications powered by LLMs and GenAI tools
  • Agentic AI Developer – Developing autonomous AI agents and orchestration workflows using LangChain & similar frameworks
  • Big Data Engineer / ETL Specialist – Managing large-scale data pipelines and real-time data processing

Analytics & Intelligence Roles

  • Business Intelligence Analyst / Data Analyst – Driving insights through visualization and decision intelligence
  • AI Solutions Architect – Designing AI-driven strategies and scalable enterprise solutions
  • Research Scientist (AI/ML/GenAI) – Exploring advanced applications in NLP, computer vision, and agentic AI
  • Product Manager (AI & Analytics) – Leading AI-powered product innovation and strategy

Strategic & Leadership Roles

  • AI Consultant / Strategy Analyst – Helping businesses adopt and scale AI/ML solutions
  • Entrepreneur / Start-up Founder – Building AI-driven products, services, or platforms
  • Chief AI Officer / Head of AI – Leading AI strategy and implementation across organizations
  • AI Ethics Officer – Ensuring responsible AI development and deployment

Specialized Domains

  • Computer Vision Engineer – Developing image and video analysis systems
  • NLP Engineer – Building language processing and understanding systems
  • MLOps Engineer – Managing ML model deployment and monitoring
  • AI Research Scientist – Advancing the frontiers of artificial intelligence

Admission Process

01 Apply

Fill out the Apply Now form.

02 Login

Check your email for Admission Portal credentials.

03 Upload

Provide personal & academic details and upload the required documents.

04 Confirm

Await document verification and acceptance email.

05 Enroll

Pay the admission & first semester fee to unlock your LMS access.

06 Learn

Begin your academic journey with us!

Earn a Prestigious degree from a Globally Recognized Institution

The degree is globally recognized, accepted and validated for further education and job prospects. The online degrees offered by KIIT hold the same merit as a regular one and open doors to better professional opportunities.

Frequently asked questions

Is the KIITX Online B.Com program recognized?

Yes. KIITX's Online Bachelor of Commerce (B.Com) program is approved by the University Grants Commission (UGC) and follows all regulations under UGC (Online Programs). The degree is recognized across government, corporate, and academic institutions.

Is this program suitable for working professionals or distance learners?

Absolutely. The online B.Com is designed for working professionals, entrepreneurs, and students in remote locations. With flexible learning and 24x7 access to study material, learners can pace their education as per their convenience.

Can international students apply?

Yes, the program is open to international applicants. They must provide equivalent academic records and may need an equivalency certificate from the Association of Indian Universities (AIU).

What mode of learning is followed in this program?

The program is 100% online, offering a blend of:

  • Live virtual sessions
  • Recorded video lectures
  • Interactive e-learning content
  • Digital assignments and assessments