ME Data Science Analytics

About

ME Data Science Analytics

The M.E. in Data Science & Analytics program is designed to provide advanced knowledge in data-driven technologies, big data management, and statistical modeling. It equips students with expertise in machine learning, artificial intelligence, and data visualization for solving complex problems. The course emphasizes practical exposure to real-world datasets and analytical tools. Graduates are prepared to pursue careers in data science, analytics, research, and innovation across industries.

National Applicants
International Applicants
IT
Program Outcomes

Why Study ME Data Science Analytics

Eligibility

Duration: 2 Year

01

Affiliation

A recognized constituent institution under Gokul Global University.

02

Eligibility Criteria

Candidates must have a B.E./B.Tech degree in Computer Science, Information Technology, Electronics, or a related discipline.

03

Mode of Admission

As per the guidelines and procedure prescribed by Council.

Curriculum

Curriculum

SEM 1
SEM 2
SEM 3
SEM 4
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEM115401 Mathematical Foundation of Computer Science Program Core 4 3 0 2
2 FEM215402 Advanced Data Structure Program Core 4 3 0 2
3 FEM115501 Data Science Program Core 4 3 0 2
4 FEM115406 Machine Learning Program Elective 4 3 0 2
5 FEM110001 Research Skill & Methodology Research 2 1 0 2
6 FEM110002 Disaster Management Audit 0 2 0 0
Total 18 15 0 10
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEM225401 Advanced Algorithm Program Core 4 3 0 2
2 FEM125501 Data Visualization Program Core 4 3 0 2
3 FEM125404 Data Mining and Data Warehousing Program Elective 4 3 0 2
4 FEM125505 Web Analytics and Development Program Elective 4 3 0 2
5 FEM125409 Mini Project with Seminar Research 2 0 0 4
6 FEM120001 Research Paper Writing Audit 0 2 0 0
Total 18 14 0 12
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEM135402 Cloud Computing Program Elective 3 2 0 2
2 FEM135404 Semantic Web Open Elective 3 3 0 0
3 FEM135407 Internal Review - I Research 2 0 0 4
4 FEM135408 Dissertation Phase - I Research 8 0 0 16
Total 16 5 0 22
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEM145401 Internal Review - II Research 2 0 0 4
2 FEM145402 Dissertation Phase - II Research 14 0 0 28
Total 16 0 0 32
GGU Laboratories

Laboratories

Activities

Activities