Ph.D Admission Aug 2024 Click here to know more
Ph.D Admission Aug 2024 Click here to know more
ADMISSION ENQUIRY - 2024
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.
Fees
Tuition Fees
₹ 83000 /- per year
Contact No.:
+91- (M) 9904057884
admission.dcs@ganpatuniversity.ac.in
Eligibility
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 | Subject Comment | 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 | Subject Comment | 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 | 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 |