GNA University

M.Tech. CSE Data Science

M.Tech. Computer Science & Engineering (CSE) is one of the most famous courses which centers on the fundamental components of modern computing.

M.Tech. CSE Data Science

Computer Science & Engineering (CSE) is one of the most famous courses which centers on the fundamental components of modern computing. Students pursuing computer science courses will gain knowledge of design, implementation and management of information system of both hardware and software. The university provides both theory and hand on experience for both hardware and software system.

The master`s program offers a wide variety of specializations programs for students, which are Data Mining, Information Security, Advanced Computing and Internet of Things. The primary focus of this master’s program is to develop research-oriented engineers, who can contribute in development of the nation.

After successfully completing this program students can work in renowned organizations such as IBM, Dell, Oracle, Amazon, Microsoft, Google etc. Along with that students may pursue their carrier in research and development and apply for organizations like NASA, ISRO, DRDO and other research centers around the globe. This program is a roadmap for PhD studies for those who want to have a bright carrier in research.

At GNA Students work on:

  • Octave
  • Matlab
  • Python
  • Kali Linux
  • Amazon Cloud
  • Raspberry Pie
  • Arduino

Program Highlights

  • Post Graduate students have worked in collaboration with IIT Delhi, Videocon Connect Broadband firms to carry out their research activities.
  • Students get benefit from guest lectures on the latest innovations in both established and emerging fields.
  • Students get exposure in many countries based on their research works and contribution in research papers of reputed journals at International Conferences.
  • An open access and multidisciplinary journal named GJMT (GNA Journal of Management & Technology) provide a research platform and tool for research scholars.
  • Workshops, Industrial Visits and Seminars are conducted to enrich the students with industry related technical knowledge and hands on experience.

Semester Wise Subjects

Semester 1

Sr. No. Course Title
1 Research Methodology
2 Business Intelligence Mining
3 Mathematical Foundation of Computer Science
4 Advanced Data Structures
5 Elective – I
6 Elective - II
7 Advanced Data Structure Lab
8 Elective – II Lab

Semester 2

Sr. No. Course Title
1 Advanced Algorithm Analysis and Design
2 Soft Computing
3 Elective – III
4 Elective – IV
5 Disaster Management
6 Advanced Algorithm Analysis and Design Lab
7 Mini Project with Seminar

Semester 3

Sr. No. Course Title
1 Elective – V
2 Open Elective
3 Dissertation – I

Semester 4

Sr. No. Course Title
1 Dissertation – II

Core Elective - I

Course Code Course Name
MCS1101 Data Science
MCS1105 Distributed Systems
MCS1106 Data Preparation and Analysis

Core Elective - II

Course Code Course Name
MCS1107 Recommender System
MCS1108 Machine Learning
MCS1109 Data Storage Techniques

Core Elective - III

Course Code Course Name
MCS1203 Data Visualization
MCS1204 Big Data Analytics
MCS1205 Data Warehouse and Data Mining

Core Elective - IV

Course Code Course Name
MCS1206 Data Security and Access Control
MCS1207 Web Analytics and Development
MCS1208 Knowledge Discovery

Core Elective - V

Course Code Course Name
MCS1301 GPU Computing
MCS1302 Cloud Computing
MCS1303 Distributed Databases

Open Elective

S.No. Course Title
1 Business Analytics
2 Industrial Safety
3 Operations Research
4 Cost Management of Engineering Projects
5 Composite Materials

Career Opportunities

Data Science is a term that combines several disciplines, including statistics, data analysis, machine learning, and computer science. As data is growing exponentially every day, it becomes a necessity to handle this enormous amount of data. Millions of companies and government organizations rely on big data to succeed and to better serve their customers, so data science experts are in high demand almost in every sector. One may dive into several career opportunities in data science such as data analyst, data engineer, data administrator, statistician, business intelligence analyst, research scientist. Many big companies like Facebook, Twitter, Airbnb, Apple, LinkedIn, IBM and PayPal hire data scientists. The opportunities in Data Science career is expected to grow continuously for a long time to come. As data is a new oil and companies try to make sense out of data, so skilled Data Scientists will continue to be of great support to big and small companies.


Tech Companies that hire Post Graduates :

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