Overview

Program Description:

The Master of Technology (M.Tech.) in Computer Science and Engineering with a specialization in Data Science is a postgraduate program designed to equip students with advanced knowledge and skills in data analysis, machine learning, and big data technologies. This interdisciplinary course integrates core computer science principles with specialized data science techniques, preparing graduates to tackle complex data-driven challenges across various industries.

Focus:

The curriculum focuses on advanced areas like machine learning, deep learning, big data technologies, data mining, and statistical analysis. It emphasizes predictive analytics, data visualization, cloud computing, and cutting-edge fields like NLP, computer vision, and reinforcement learning.

Career Prospects:

Graduates are well-positioned for roles including Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Engineer. The program's comprehensive curriculum ensures that alumni are equipped to meet the growing demand for data science professionals in various industries.


PROGRAM EDUCATIONAL OBJECTIVES(PEOs)

PEO1: Analyze, design, and develop software solutions for multidisciplinary problems related to industry and societal needs.

PEO2: Excel in industry, academia, and entrepreneurship exhibiting professional and leadership skills with ethical standards.

PEO3: Contribute to the scientific community through research and development in the field of computer science and engineering.

 

PROGRAM OUTCOMES(POs)

PO1: An ability to independently carry out research /investigation and development work to solve practical problems

PO2: An ability to write and present a substantial technical report/document

PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program

PO4: Apply mathematical foundations, data analytics, and intelligent technologies to solve real-world problems

PO5: Design and develop data driven models, and enhance decision making though visualisation 

Key Dates & Deadlines

30

Apr 30 26

Apr ' 26

Last date to Apply

'

Tentative Course Commencement Date

Contact Details

Sl.No

Name

Contact number

1

Mrs Diana

9187063404/ 080 2449 4110

2

Mr. Nihar

9187061401/ 080 2449 7131

3

Ms. Kavya

8105922239/ 080 2449 7039

 

 

MAHE main campus: 9243777711/ 9243777722/ 9243777733

E mail id: admissions@manipal.edu

Duration

4 Years (8 semesters).