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M. Tech. in Artificial Intelligence Course Overview:

Today is the world of Machine Learning. Focus is on learn and utilize the machine learning techniques, which will be helpful to solve real life complex problems.. Most of the global companies are using advanced techniques based on machine learning tools and technologies for their analysis purposes. Course is focused to enhance the knowledge level of students and make them expert by providing them different type of learning opportunities in the area of AI and ML.

Course Structure:

Sr. No.

Semester

Subject Name

Credit

1

1st

Digital Forensics

4

2

1st

Artificial Intelligence

4

3

1st

Cloud Computing

3

4

1st

Data Mining & Warehousing

4

5

1st

Research Skills

3

6

1st

Subject from School of IE

3

7

2nd

Business Analytics

3

8

2nd

Neural Networks

4

9

2nd

Cryptography and Biometrics

4

10

2nd

Soft Computing

4

11

2nd

Major Elective - I

3

12

2nd

Subject from School of IE

3

13

2nd

Major Elective-I

Cluster and Grid Computing

Software Project Management

Design of Embedded Systems

 

14

3rd

Machine Learning

4

15

3rd

Seminar (Presentation + Attendance + Preparation of learning material)

4

16

3rd

Internal Review

2

17

3rd

Dissertation Phase - I (Literature Review, Problem Formulation, Progress and Work Plan)

 

20

18

4th

Seminar (Presentation + Attendance + Preparation of learning material)

6

19

4th

External Mid Sem Review (Brief Literature Review, Problem Statement and Major Outcomes)

12

20

4th

Dissertation Phase- II

2

 

Key feature:

  • Students will get benefitted in the mentorship of academic & industry experts.
  • Dissertation work will be inclined towards latest research issues. It will increase the student knowledge level in the area of specialization.

Career outcomes:

Skilled AI & ML engineering professionals can find employment in a diverse range of roles that include:

  • Machine Learning Engineer

  • Data Science Engineer

  • Artificial Intelligence Programmer

  • Data Scientist

  • Research Scientist

  • Business Intelligence Developer

 

Why study at Swarrnim?

  • We provide you extra ad-on degree for startup with the course 
  • Opportunity to learn from faculties who have Masters as well as doctorate degree from reputed institutions with 8-10 years experience.

Entry requirements:

Bachelors engineering degree in relevant branch with minimum 50% result to apply in this master’s course

Facts & figures regarding course:

  • India is having very less manpower availability in Artificial Intelligence & Machine learning at this time. So demand of Machine Learning Engineers is very high.
  • There are huge opportunities in multinational companies.

How to Apply?

Admission through ACPC Online/Offline Admission at Campus.

Apply Now