MCA (Artificial Intelligence and Machine learning)

MCA AI ML graduates can work as IT Engineer or Software Engineer.

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Best Master of Computer
Applications (MCA) AI ML College in India

Artificial Intelligence and Machine Learning (AI & ML) relates to the field of computer applications and helps in making the intelligent systems or machines that can simulate the human behaviour, their thinking capability. It works either on the basis of data without or with the explicitly designed program or machine algorithm. Few examples where AI is used are online Game playing, customer support using catboats, robot, intelligent humanoid, Siri, work on artificial intelligence. Machine learning works on the information extracted from data and it is considered as subfield of artificial intelligence. ML is used for predictions or in decision making based on the past data, for example, online recommendations, picture detections, search engine algorithm, auto-friend tagging suggestions etc. Realizing the importance of the field and its wide application in today’s world business, Uttaranchal University offers specialization in the field of Artificial Intelligence and Machine Learning (AI&ML) to students enrolled in MCA program.

MCA with specialization in Artificial Intelligence and Machine Learning is a two years post graduate program to impart right knowledge and industry ready skills to develop intelligent machines and solve real world problem through AL & ML techniques. The curriculum and teaching – learning pedagogy is so designed that it balances between theoretical component and practical exposure through projects, internships, industrial visits, expert interaction and conducting technical workshops. Some of the key concepts of Python, Panda, Scikit are well explained through lab sessions and having regular doubt clearing sessions. Special focus is given on courses related to computer programming, Algorithm, probabilistic modelling, machine learning and pattern recognition.

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Career Prospects:

Candidates having MCA with specialization in AI & ML have great employment opportunities in top recruiting companies and organization as Data Scientist, ML Engineer, Robotics scientist, AI engineer, BI developer, and Big data Analyst. Students can also enroll in a doctorate programme and make their career in research.

Globally

Comparable,

Flexible

and Choice

Based Academics

Globally

Comparable,

Flexible

and Conducive

Learning Environment

Eligibility & Fee Details

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MCA (Artificial Intelligence and Machine learning)

Uttarakhand Quota (Amount of fee details in INR)

Semester Heads (Graduation Aggreate%)
>=90.01
(1st Category)
(Graduation Aggreate%)
>=80.01 and <=90
(2nd Category)
(Graduation Aggreate%)
>=70.01 and <=80
(3rd Category)
(Graduation Aggreate%)
<=70
(4th Category)
1st Semester Academic Fee 49,350 49,350 49,350 49,350
Merit Scholarship 14,805 9,870 4,935 --
Net Academic Fee 34,545 39,480 44,415 49,350
Development Fee 3,948 3,948 3,948 3,948
2nd Semester Academic Fee 49,350 49,350 49,350 49,350
Merit Scholarship 14,805 9,870 4,935 --
Net Academic Fee 34,545 39,480 44,415 49,350
Development Fee 3,948 3,948 3,948 3,948
Total Fee year wise inclusive of other charges (1st Category) 1,13,348 (2nd Category) 1,23,218 (3rd Category) 1,33,088 (4th Category) 1,42,958

All India Quota (Amount of fee details in INR)

Semester Heads (Graduation Aggreate%)
>=90.01
(1st Category)
(Graduation Aggreate%)
>=80.01 and <=90
(2nd Category)
(Graduation Aggreate%)
>=70.01 and <=80
(3rd Category)
(Graduation Aggreate%)
<=70
(4th Category)
1st Semester Academic Fee 65,800 65,800 65,800 65,800
Students Diversity Scholarship 7,300 7,300 7,300 7,300
Merit Scholarship 17,550 11,700 5,850 -
Net Academic Fee 40,950 46,800 52,650 58,500
Development Fee 5,264 5,264 5,264 5,264
2nd Semester Academic Fee 65,800 65,800 65,800 65,800
Students Diversity Scholarship 7,300 7,300 7,300 7,300
Merit Scholarship 17,550 11,700 5,850 -
Net Academic Fee 40,950 46,800 52,650 58,500
Development Fee 5,264 5,264 5,264 5,264
Total Fee year wise inclusive of other charges (1st Category) 1,28,790 (2nd Category) 1,40,490 (3rd Category) 1,52,190 (4th Category) 1,63,890

Uttarakhand Quota (Amount of fee details in INR)

Semester Heads (Diploma Aggregate%)
>=90.01
(1st Category)
(Diploma Aggregate%)
>=80.01 and <=90
(2nd Category)
(Diploma Aggregate%)
>=70.01 and <=80
(3rd Category)
(Diploma Aggregate%)
<=70
(4th Category)
3rd Semester Academic Fee 50,024 50,024 50,024 50,024
Scholarship 15,007 10,005 5,002 --
Net Academic Fee 35,017 40,019 45,022 50,024
4th Semester Academic Fee 50,024 50,024 50,024 50,024
Scholarship 15,007 10,005 5,002 --
Net Academic Fee 35,017 40,019 45,022 50,024
Total Fee year wise inclusive of other charges (1st Category) 95,334 (2nd Category) 1,05,338 (3rd Category) 1,15,344 (4th Category) 1,25,348

All India Quota (Amount of fee details in INR)

Semester Heads (Diploma Aggregate%)
>=90.01
(1st Category)
(Diploma Aggregate%)
>=80.01 and <=90
(2nd Category)
(Diploma Aggregate%)
>=70.01 and <=80
(3rd Category)
(Diploma Aggregate%)
<=70
(4th Category)
1st Semester Academic Fee 67,600 67,600 67,600 67,600
Scholarship 7,600 7,600 7,600 7,600
Merit Scholarship 18,000 15,000 7,500 -
Net Academic Fee 42,000 48,000 54,000 60,000
4th Semester Academic Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 7,600 7,600 7,600 7,600
Merit Scholarship 18,000 15,000 7,500 -
Net Academic Fee 42,000 48,000 54,000 60,000
Total Fee year wise inclusive of other charges (1st Category) 1,34,300 (2nd Category) 1,49,300 (3rd Category) 1,64,300 (4th Category) 1,79,300

One Time Payable Charges in 1st Semester (INR)

Admission Fee Enrolment Fee Caution Money
(Refundable after completion of programme)
6,000 2,000 2,000

Other Charges Per Semester (INR)

Examination Fee Library Fee Student Welfare Fee Online Student Information Fee Professional Fees (Assesment Solution) Specialization Fee Total
4,600 800 750 1,500 531 5,000 13,181

Optional Fee (INR)

Hostel & Mess Fee Single Bed Double Bed Triple Bed with Attached Bathroom (Only for Boys) Triple Bed Four Bed
Rent and other Fee per Academic Year 85,000 55,000 65,000 47,000 42,000
Mess Fee per Academic Year 40,500 40,500 40,500 40,500 40,500
Laundry Fee per Academic Year 2,500 2,500 2,500 2,500 2,500
Hostel Security Fee (Refundable after completion of the session) 2,000 2,000 2,000 2,000 2,000
Total Amount 1,30,000 1,00,000 1,10,000 92,000 87,000

Optional Fee (INR)

Transportation Fee for Doiwala/Nepali Farm/Rishikesh/Poanta Sahib Routes per Academic Year 24,000
Transportation Fee for Other Routes per Academic Year 18,000

Eligibility

  • Passed B.C.A/ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech. (CSE) / B.E. (IT) / B.Tech. (IT) or equivalent Degree OR passed any graduation degree (e.g.: B.E. / B.Tech. / B.Sc. / B.Com. / B.A./ B. Voc./ etc.,) preferably with Mathematics at 10+2 level or at Graduation level.
  • For students having no Mathematics background compulsory bridge course will be framed by the respective University/ Institution and additional bridge courses related to computer subjects as per the norms of the concerned University.
  • Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

Note:

  • Only one choice of scholarship will be allowed to the candidate from the following:
    • 5% scholarship on Net Academic Fee (after merit scholarship) to Girl Candidate for complete programme.
    • 5% scholarship on Net Academic Fee (after merit scholarship) to ward of Defence Personnel for complete programme.
    • 10% scholarship on Net Academic Fee (after merit scholarship) to Alumni of Uttaranchal University (only in 1st year).
    • 10% scholarship on Net Academic Fee (after merit scholarship) to Sibling of Uttaranchal University (only in 1st year).
  • If any student deposits his/her complete yearly Fee, in that case additional scholarship of 5% on Net Academic Fee (after merit scholarship)will be provided for 1st year only.
  • Artifical Intelligence and Machine Learning Specialization Fee of Rs. 5,000/- per semester will be paid by students from first semester.

Admission Procedure:

Program Structure

Sr. No. Course Code Course Name Credits
1 MCA-C101 Data Structure and Algorithmss 3
2 MCA-C102 Programming in JAVA 3
3 MCA-C103 Responsive Web Applications 3
4 MCA-C104 Software Engineering and Project Management 4
5 MCA-105 (AI1) Python for Data Science 3
6 MCA-C151 Data Structure and Algorithms Lab 1
7 MCA-C152 Programming in JAVA Lab 1
8 MCA-C153 Responsive Web Applications Lab 1
9 MCA- 154(AI1) Python for Data Science Lab 1
10 MCA-S155 Mini Project-I 1
11 MCA-S156 Career Skills -1 Lab Q*
*Marks not to be included in the grand total.
Total credit Sem. I 21

Sr. No. Course Code Course Name Credits
1 MCA-C201 Application Development using .NET Technology Framework 3
2 MCA-202(DE1) Advance Java Script 3
MCA-202(DE2) Advance JAVA
MCA-202(DE2) Introduction to IoT
3 MCA-C203 Advance Database Management System 3
4 MCA-C204 Artificial Intelligence 4
5 MCA-205 (AI1) Computer Vision 3
MCA-205 (AI2) Machine Learning
MCA-205 (AI3) Soft Computing
6 MCA-206 (AI1) Cognitive Computing 3
MCA-206 (AI2) Information Retrieval
7 MCA-C251 Application Development using .NET Technology Framework Lab 1
8 MCA-252(DE1) Advance Java Script Lab 1
MCA-252(DE2) Advance JAVA Lab
MCA-252(DE2) Introduction to IoT Lab
9 MCA-C253 Advance Database Management System Lab 1
10 MCA-254(AI1) Computer Vision Lab 1
MCA-254(AI2) Machine Learning Lab
MCA-254(AI3) Soft Computing Lab
11 MCA-S255 Mini Project-II 1
Total credit Sem. II 24

Sr. No. Course Code Course Name Credits
1 MCA-C301 Data Communication and Networks 3
2 MCA-C302 Data Warehouse and Data Mining 3
3 MCA-303(GE1) Organizational System and Management 3
MCA-303(GE2) Business Case Studies
4 MCA-C304 Research Methodology and IPR 2
5 MCA-305(AI1) Deep Learning 3
MCA-305(AI2) Natural Language Processing
6 MCA-C351 Data Communication and Networks Lab 1
7 MCA-C352 Data Warehouse and Data Mining Lab 1
8 MCA-353 (AI1) Deep Learning Lab 1
MCA-353 (AI2) Natural Language Processing Lab
9 MCA-S354 Mini Project-III 1
10 MCA-S355 Summer Internship Program 1
11 MCA-S356 Research Paper Presentation 1
12 MCA-S357 Career Skills -2 Lab Q*
Total credit Sem. III 20

Sr. No. Course Code Course Name Credits
1 MCA-C401 Industrial Training 20
Total credit Sem. IV 20

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Why Join University School of Computing Sciences?

UIM has a unique learning environment that encourages intellectual and creative growth. The institute has built up education culture that is in tune with the global vision of the 21st Century. Our study programs and doctoral programs have a special focus on research and project work for the industry.

  • The campus is well conceptualized and planned.
  • The institute is abundantly enabled with the provision of rich resource center in the form of :
    • Centrally operated library
    • Modern laboratories
    • Experienced and well qualified faculty
    • Innovative teaching methodology.
  • We cherish the ideals of providing value-based technical education that would enable our students to achieve empowerment, problem solving skills, innovation and research.
  • Our special focus is on student placements, hence we subject our students to rigorous placement training.
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