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

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 Tuition Fee 50,024 50,024 50,024 50,024
Merit Scholarship 15,007 10,005 5,002 --
Net Tuition Fee 35,017 40,019 45,022 50,024
2nd Semester Tuition Fee 50,024 50,024 50,024 50,024
Merit Scholarship 15,007 10,005 5,002 --
Net Tuition Fee 35,017 40,019 45,022 50,024
Total Fee year wise inclusive of other charges (1st Category) 96,396 (2nd Category) 1,06,400 (3rd Category) 1,16,406 (4th Category) 1,26,410

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 Tuition Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 7,600 7,600 7,600 7,600
Merit Scholarship 18,000 12,000 6,000 -
Net Tuition Fee 42,000 48,000 54,000 60,000
2nd Semester Tuition Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 7,600 7,600 7,600 7,600
Merit Scholarship 18,000 12,000 6,000 -
Net Tuition Fee 42,000 48,000 54,000 60,000
Total Fee year wise inclusive of other charges (1st Category) 1,10,362 (2nd Category) 1,22,362 (3rd Category) 1,34,362 (4th Category) 1,46,362

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 Tuition Fee 50,024 50,024 50,024 50,024
Scholarship 15,007 10,005 5,002 --
Net Tuition Fee 35,017 40,019 45,022 50,024
4th Semester Tuition Fee 50,024 50,024 50,024 50,024
Scholarship 15,007 10,005 5,002 --
Net Tuition 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 Tuition 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 Tuition Fee 42,000 48,000 54,000 60,000
4th Semester Tuition 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 Tuition 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) Total
4,600 800 750 1,500 531 8,181

Optional Fee (INR)

Hostel & Mess Fee Single Bed Double Bed Triple Bed Four Bed
Rent and other Fee per Academic Year 75,000 55,000 47,000 42,000
Mess Fee per Academic Year 40,500 40,500 40,500 40,500
Laundry Fee per Academic Year 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
Total Amount 1,20,000 1,00,000 92,000 87,000

Optional Fee (INR)

Transportation Fee for Doiwala Route per Academic Year 22,000
Transportation Fee for Other Route per Academic Year 20,000

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 Tuition Fee (after merit scholarship) to Girl Candidate for complete programme.
    • 5% scholarship on Net Tuition Fee (after merit scholarship) to ward of Defence Personnel for complete programme.
    • 10% scholarship on Net Tuition Fee (after merit scholarship) to Alumni of Uttaranchal University (only in 1st year).
    • 10% scholarship on Net Tuition 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 Tuition Fee (after merit scholarship)will be provided for 1st year only.
  • The Net Tuition Fee for the programme will increase by 5% per annum from 2nd year onwards. It will be applicable to both All India and State Quota students.

Admission Procedure:

Program Structure

Sr. No. Course Code Course Name Credits
1 MCA-C101 Design and Analysis of Algorithm 4
2 MCA-C102 Programming in JAVA 3
3 MCA-C103 Data Warehousing and Data Mining 3
4 MCA-C104 Software Engineering and Project Management
4
5 MCA-105 (AI1) Machine Learning using Python 3
6 MCA-C151 Programming in JAVA Lab 1
7 MCA-C152 PL/SQL Lab 1
8 MCA-C153(AI1) Machine Learning using Python Lab 1
9 MCA-S154 Mini Project-I 1
10   Open Elective  
Total credit Sem. I 21

Sr. No. Course Code Course Name Credits
1 MCA-C201 Responsive Web Applications 3
2 MCA-C202 Artificial Intelligence 3
3 MCA-C203 Data Communication and Networks 4
4 MCA-204(AI1) Cognitive Computing
4
MCA-204(AI2) Reinforcement Learning
5 MCA-205(AI1) Natural Language Processing

3
MCA-205(AI2) Deep Learning
MCA-205(AI3) Soft Computing
6 MCA-C251 Responsive Web Applications Lab 1
7 MCA-C252 Artificial Intelligence Lab 1
8 MCA-253(AI1) Natural Language Processing Lab 1  
MCA-253(AI2) Deep Learning Lab
MCA-253(AI3) Soft Computing Lab
9 MCA-S254 Mini Project-II 1
Total credit Sem. II 21

Sr. No. Course Code Course Name Credits
1 MCA-C301 Application Development using .NET        Technology Framework 3
2 MCA-C302 Research Methodology and IPR 2
3 MCA-303(DE1) Advance Java Script
4
MCA-303(DE2) Advance JAVA
4 MCA-304(GE1) Organizational System and Management

3
MCA-304(GE2) Business Case Studies
5 MCA-305(AI1) Computer Vision

3
MCA-305(AI2) Predictive Analytics
6   MCA-C351 Application Development using .NET Technology Framework Lab

1
    7 MCA-352(DE1) Advance Java Script Lab
1  
MCA-352(DE2) Advance Java Lab
  8 MCA-353 (AI1) Computer Vision Lab 1  
MCA-353 (AI2) Predictive Analytics Lab
9 MCA-S354 Mini Project-III 1
10 MCA-S355 Summer Internship Program 1
11   MCA-S356 Research Paper Presentation 1
Total credit Sem. III 21

Sr. No. Course Code Course Name Credits
1 MCA-C401 Industrial Training 16
Total credit Sem. IV 16

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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.
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Development with International Outlook

Our students graduate with the self competence and social skills. The diversity encountered during their education prepares them to participate in diverse cultures and global industries.

What our students say?

Uttaranchal University has come a long way since its inception providing world-class education in diverse domains.

One of the best decisions of my life

I found that the decision to study at Uttaranchal University was one of the best decisions of my life. Faculty members are known for their interactive teaching sessions and hence it is an ideal university for pursuing any course.

An appropriate exposure towards life

I chose Uttaranchal University because of its proximity to my home town, but I had no idea what to expect. The experience I had here was truly enriching, and exemplary. The professors always pushed us to think on our own and not recite books. With the constant encouragement and support of my professors, seniors and mentors; I always strove for excellence and also became very much involved in many student activities. The opportunities to grow here are tremendous.

Genuinely cared about the quality of education

The program perfectly blends theory with practical experience and strongly focuses on team collaboration. The faculty members with whom I had a chance to interact genuinely cared about the quality of education and were dedicated to see us succeed. Although the road was sometimes long and things did not always go my way, the tremendous feeling of accomplishment after finishing the programme was something I cherish even today.

Instructors provide students with much guidance

My favourite element of Uttaranchal University is its faculty members and learning resources. Being knowledgeable, inspiring, and approachable, my instructors provide students with much guidance and mind-opening perspectives. Their dedication to education helps us develop academic interests and grow intellectually