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GUNI Summer Student Research Internship Program Click here          Open House 2023 - Confirm Your Admission And Get The Early Bird Benefit of Up To 35% In Institute Fees Click here        Recruitment for Homoeopathy Care & Hospital, Insti. of Homoeopathy, Nursing and Physiotherapy Click here

Faculty of Computer Applications

MASTER OF SCIENCE IN INFORMATION TECHNOLOGY (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING)

Program Details

The objective of this course is to produce skilled professionals with proficiency in the areas of computer Science, Application and Information Technology Management Services. The candidates acquiring M.Sc. IT (Artificial Intelligence & Machine Learning) degree are expected to be able to function as Network Administrator/ Data Centre Manager/ System Manager/ Systems Analyst/ Software Engineer/ Faculty Member to impart teaching and training/ Research and development Scientist.

Tuition Fees

₹ 80000 /- per year

Contact No.:

+91- (M) 8160925563

Email

admission.dcs@ganpatuniversity.ac.in

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.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

Syllabus

Subject Name Subject Type Subject Code Subject Credit Subject Comment Attachments
PYTHON PROGRAMMING-1 Core P81A1PYT1 5 Read More
BASICS OF DATA SCIENCE Core P81A2BDS 5 Read More
RESEARCH METHODOLOGY Core P81A3RM 5 Read More
OBJECT ORIENTED ANALYSIS AND DESIGN WITH UML Core P81B4OOAD 3 Read More
Subject Name Subject Type Subject Code Subject Credit Subject Comment Attachments
PYTHON PROGRAMMING-2 Core P82A1PYT2 5 Read More
DATA ANALYTICS USING TOOLS Core P82A2DAT 5 Read More
MACHINE LEARNING – I Core P82A3ML1 5 Read More
ARTIFICIAL INTELLIGENCE Core P82B4AI 3 Read More
Subject Name Subject Type Subject Code Subject Credit Subject Comment Attachments
NATURAL LANGUAGE PROCESSING Core P83A1NLP 5 Read More
MACHINE LEARNING – II Elective P83A2ML2 5 Read More
REINFORCEMENT LEARNING & DEEP LEARNING Elective P83A3DL 5 Read More
BiGDATA ANALYTICS Core P83A3BDA 5 Read More
PROJECT DISSERTATION Core P83A4PD 6 Read More
Subject Name Subject Type Subject Code Subject Credit Subject Comment Attachments
INDUSTRIAL PROJECT DISSERTATION Core P84A1IPD 24 Read More