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

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.

Fees

Tuition Fees

₹ 83000 /- per year

Contact No.:

+91- (M) 9904057884

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

Program Outcome

PO -1	Apply fundamental knowledge of mathematics, computing science and domain knowledge to provide IT solutions.
PO -2	Ability to learn programming, conduct experiments, analyze, process data and interpret results.
PO -3	Design, Develop and evaluate intelligence-based software solutions to meet societal and environmental concerns and process to meet desired needs within realistic constraints. Consideration.
PO -4	Conduct investigations of complex problems using research-based knowledge and methods to provide valid conclusions.
PO -5	The ability to analyze, design, verify, validate, testing, implement, deployment and maintain real time problems.
PO -6	Ability to design the system to perform automated task and provides very good performance.
PO -7	Involve in life-long learning for continual development as an IT professional.
PO -8	Apply and demonstrate computing, analytics and management principles to manage projects in multidisciplinary environments by involving in different roles and responsibilities.
PO -9	Integrate fundamentals and advanced concepts of computer science and applications to Ability to identify, formulate, and solve engineering problems to optimize the objectives and also comprehend & write effective reports, research articles and make quality presentations.
PO -10	Understand the impact of IT solutions on socio-environmental issues and professional and ethical responsibility.
PO-11	Work collaboratively as a member or leader and ability to communicate effectively. computing activities.
PO-12	Identify potential business opportunities and innovate to create value for the society and seize that opportunity.

Program Educational Objectives (PEO)

Name of PEO			Description
PEO I			Implement computing solutions for real world problems and carry out basic and applied research leading to new innovations in Information Technology (IT) and related interdisciplinary areas.
PEO II			Apply knowledge of societal impacts of information technologies in the course of their career related activities ethically and appropriately.
PEO III			Have strong communication and interpersonal skills, broad knowledge, and an understanding of multicultural and global perspectives to work effectively and ethically in multidisciplinary teams, both as team members and leaders
PEO IV			Engage in life-long learning, to remain current in their profession and obtain additional qualifications to enhance their career positions in IT industries.
PEO V			To exhibit analytical decision making and problem solving skills by applying research principles for handling dynamic real time challenges.
PEO VI			To be able to solve wide range of computing related problems in order to cater to the needs of industry and society.

Syllabus

Subject Name	Subject Type	Subject Code	Subject Credit	Attachments
PYTHON PROGRAMMING-1	Core	P81A1PYT	5	Read More
BASICS OF DATA SCIENCE	Core	P81A2BDS	5	Read More
MACHINE LEARNING-I	Core	P81A3ML1	5	Read More
ARTIFICIAL INTELLIGENCE	Core	P81B4AI	3	Read More

Subject Name	Subject Type	Subject Code	Subject Credit	Attachments
DATA ANALYTICS USING TOOLS	Core	P82A2DAT	5	Read More
MACHINE LEARNING-II	Core	P82A3ML2	5	Read More
RESEARCH METHODOLOGY	Core	P82B4RM	3	Read More
INTRODUCTION TO R PROGRAMMING	Core	P82A1IRP	3	Read More

Subject Name	Subject Type	Subject Code	Subject Credit	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

Quick Links

Faculty of Computer Applications

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