Master of Science in Information Technology (Data Science) GUNI

Fees

Tuition Fees

₹ 77,000 /- per year

Contact No.:

+91- (M) 9904383500 9726602020

Email

admission.dcs@ganpatuniversity.ac.in

For International Students

Fee for SAARC & OTHER ASIAN

₹ 77000

Eligibility

Passed Bachelor degree examination in Computer Science/Application/Engineering/Information Technology, i.e. B.C.A., B.Sc.(Computer Science), B.Sc. (CA & IT), B.Sc. IT(Data Science), B.I.T.,B.E.(CE),B.E.(IT) etc. Or Any Science Graduate (Students of non-computer and non-mathematical/statistics background needs to clear bridge course syllabus for Fundamental of Mathematics) or P.G.D.C.A. or equivalent

Program Outcome

Name of PO	Description
PO -1	Ability to apply knowledge of mathematics, algorithms, logical, reasoning and programming languages to solve real time problems.
PO -2	Ability to develop software, tools, packages, window applications, web applications and mobile applications.
PO -3	Ability to apply knowledge of computer hardware, operating systems, communications and networking in real life problems and IT industries.
PO -4	Students will demonstrate proficiency with statistical analysis of data.
PO -5	Ability to communicate with vendors, customers and other organization effectively about software development, software problems through online communication channels , reports, documentation and presentations.
PO -6	Aware software life cycle phases, ability to analyze business problems and research issues to find out optimized solutions for computing system problems.
PO -7	Ability to apply data mining, data analytics, data interpretation and its various techniques to find out the business patterns.
PO -8	Ability to test and validate the software, web application and mobile application with tools and methods in effective way to find out bugs, errors,issues and vulnerabilities.
PO -9	Students will apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions
PO -10	Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
PO-11	Ability to process the data using various databases, to create well formated document files & presentations and to collate data together in desired format and Apply principles of Data Science to the analysis of business problems.
PO-12	To aware about the Environmental issues, Disaster management and its solutions.

Program Educational Objectives (PEO)

PSO1	Students will be able to analyse the problems.
PSO2	Students will be able to apply the computing skills to meet business objectives.
PSO3	Students will be able to use technology to solve real world problems.

Subject Name	Subject Type	Subject Code	Subject Credit	Attachments
Data Analysis	Regular	P91A1DA	5	Read More
Machine Learning - I	Regular	P91A2ML1	5	Read More
Data Visualization for Decision Making	Regular	P91A3DVD	5	Read More
Statistical Analysis	Open	P91B4SA	3	Read More

Subject Name	Subject Type	Subject Code	Subject Credit	Attachments
NATURAL LANGUAGE PROCESSING	Regular	P92A1NLP	5	Read More
MACHINE LEARNING – II	Regular	P92A2ML2	5	Read More
RESEARCH METHODOLOGY	Regular	P92A3RM	5	Read More
CALCULUS AND LINEAR ALGEBRA	Open	P92B4CLA	3	Read More

Quick Links

Faculty of Computer Applications

Master of Science in Information Technology (Data Science)