Last Date to Apply for Indian Admissions 15 March 2025 Last Date to Apply for International Admissions 15 March 2025

OVERVIEW

Department of Data Science and Engineering under School of Information Technology (SIT) of Manipal University Jaipur, offers a two-year M.Tech (Data Science) program for the aspiring students who want to pursue their career as Data Scientist/Analyst.

Data science field is mainly focused towards the storage, retrieval, analysis and maintenance of data especially when its size (volume) is extremely high (Big Data). The program is designed specifically to well-equip the students with latest technological concepts like Data Analytics, Data Engineering, Big Data, Artificial Intelligence and Machine Learning.

ELIGIBILITY AND ADMISSION CRITERIA

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SCHOLARSHIPS

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PLACEMENTS & INTERNSHIPS

PROGRAM FEES

Program Fee Indian (₹) International ($)
MTECH Tuition (Annual) 1,81,000 4,400
Registration (One Time) 10,000 300
Caution Deposit (Refundable) 15,000
Total (At the time of admission) 2,06,000 4,700

FROM THE

STUDENT THOUGHTS

COURSE STRUCTURE

  • Mathematical Foundations of Data Science
  • Research Methodologies
  • Advanced Data Structures and Algorithms
  • Machine Learning Techniques
  • Program Elective1-DSE6141-Data Preparation and Analysis/ DSE6143 Knowledge Discovery
  • Industry-Oriented Course 1 /Value Added Course 1/ Flexi Core 1 Machine Learning Application for Music Data Processing and Retrieval.
  • Advanced Data Structures and Algorithms Lab
  • Machine Learning Techniques Lab
  • Minor Project 1

  • Deep Learning
  • Data Visualization
  • Program Elective-2 DSE6242 Image Processing and Pattern Recognition/ DSE6243 Recommender Systems
  • Program Elective-3 DSE6245 Business Process Engineering/ DSE6244 Web Analytics and Development
  • Flexi Core 2 Gen AI
  • Industry-Oriented Course 2 /Value Added Course 2 / Flexi Core 2 Deep Fake
  • Deep Learning Lab
  • Data Visualization Lab
  • Minor Project 2

  • Dissertation/ Industry Internship

  • Dissertation/ Industry Internship

LEARN.
GROW.
ACHIEVE.

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