Program
Overview
Postgraduate Degree
- 2 YearsDuration
- 30 Number of Seats
- Full time Degree Course
Program Overview
The M.Sc. Data Science is a two-year, full-time postgraduate program divided into four semesters. It is designed to equip students with expertise in data analytics, statistical methods, machine learning, and big data technologies. The curriculum covers a wide range of subjects including advanced programming, data visualization, predictive modeling, and artificial intelligence.
Objectives
The primary objectives of the M.Sc. Data Science programs are to:
- To provide students with a comprehensive understanding of data science concepts and methodologies.
- To develop practical skills in data collection, analysis, interpretation, and presentation.
- To prepare students for advanced research and development roles in the data science field.
- To enhance problem-solving and critical thinking abilities specific to data-driven decision-making.
- To promote ethical practices and professional standards in handling data.
Eligibility
- B.SC CS or BCS with 50% & 45% for Reserve Category a Bachelor of Engineering in Computer Science/ Information Technology/ Electronics Telecommunication with 50% marks.
- B. Sc. in IT or B. Sc. in Entire Computer Science with 50% Marks.
- B. Voc. in Software Development / Information Technology with 50% Marks.
Semester-I | Semester-II |
A) Course Outline: DS-501-MJ Statistics for Data Science DS-502-MJ Computational Mathematics DS-503-MJ Fundamentals of Data Science DS-504-MJP Lab course on Statistics for Data Science DS-505-MJP Lab course on Computational Mathematics DS-510-MJ Data Mining and Data warehousing DS-511- Lab course on DM OR DS-512-MJ Artificial Intelligence DS-513-MJP Lab course on AI RM DS-531-RM Research Methodology
B) Value Added Courses:
| A) Course Outline: DS-551-MJ Database Technologies DS-552-MJ Machine Learning DS-553-MJ Python Programming for Data Science DS-554- MJP Lab course on Database Technology DS-555- MJP Lab course on Machine Learning using Python DS-560-MJ Big Data DS-561-MJP Lab Course on Big Data OR DS-562-MJ Deep Learning DS-563- MJP Lab Course on Deep Learning DS-581-OJT On Job Training in IT industry/SummerProject (120 Hours) B) Value Added Courses:
Automation anywhere 1/year |
Semester-III | Semester-IV |
A) Course Outline: DS-601-MJ Data Visualization and Analytics DS-602-MJ Optimization Techniques DS-603-MJ Predictive Analysis DS-604- MJP Lab course Data Visualization and Analytics DS-605- MJP Lab course Optimization Techniques and Predictive Analysis DS-610-MJ Exploratory Data Analysis DS-611-MJP Lab Course on Exploratory Data Analysis OR DS-612-MJ Business Informatics DS-613- MJP Lab Course on BI DS-631-RP Research Project Work Research Paper in Conference B) Value Added Courses:
| A) Course Outline: S-651 MJP Full Time Industrial Training (IT) DS-652-MJ MOOC Courses/Online Courses DS-681-RP Research Work/ Research paper in Journal B) Value Added Courses:
Automation anywhere 1/year
|
Every eligible candidate has to pass a Common Entrance Test/Personal Interview to be conducted by College.