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ACCELERATE YOUR CAREER GROWTH

UGC
NCTE
BCI
PCI

Data Science
🞅

M.Tech Data Science is a specialized course of two years that covers techniques and theories related to data science including statistics, data mining, data warehousing and data visualization.

Students who enroll in M.Tech Data Science learn to apply the knowledge of computing techniques and tools in the field of Big Data to solve real world problems encountered in various industries.

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  • Programme Features
  • Programme Structure
  • Eligibility
  • Learning Methodology
  • Fee Structure

    1. M.Tech- Data Science is a Work Integrated Learning Programme (WILP), recognized by UGC.

    2. The programme is of four semesters, with online classes conducted on weekends or after business hours. 

    3. Contact-less and safe Online exams facility.

    4. Lectures are delivered by faculty members and experienced industry professionals.

    5. The Dissertation in the final semester enables students to apply concepts and techniques learnt during course work to solve current environmental problems.

    6. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.

    7. Participants who successfully complete the programme are awarded with Master’s Degree in Data Science.
    

Programme Structure
Ist SEMESTER2nd SEMESTER3rd SEMESTER4th SEMESTER
Cryptography and Network  Software Engineering     Research Methodology Major Dissertation
Advanced  Design Analysis and Algorithm Soft  Computing Big Data Analytics  
Numerical Method and Computer Programming   Computer Programming Mini Project  
Data Warehousing & Data Mining Introduction to Data Science    
Numerical Method and Computer Programming   Lab Computer Programming Lab    
Advance DAA LAB Soft Computing Laboratory    
Eligibility
    1. Working Professionals with B.Tech have minimum 45% marks or its equivalent.







    2. At least one year of work experience.
  • Live & Recorded Lectures with cutting-edge tutorials.

  • Interact and Collaborate with Peers and Faculty

  • Online Mentoring

  • Use of Multimedia and Open Educational Resources

  • 'Flipped' Classrooms

  • E-portfolio & Peer Assessment

  • Work Integrated Advantage

  • Experiential Learning

  • Academic & Industry Mentorship

  • Continuous Assessment

  • Dissertation/Project Work

    • Application Fees (one time) : INR 1,000

    • Semester Fees (per semester) : INR 32,000

    • Examination Fees (per semester) : INR 1,000


    

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