MCA AI ML graduates can work as IT Engineer or Software Engineer.
Apply NowArtificial 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.
Apply NowCandidates 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.
| Semester | Heads | (Graduation Aggregate%) >=90.01 (1st Category) |
(Graduation Aggregate%) >=80.01 and <=90 (2nd Category) |
(Graduation Aggregate%) >=70.01 and <=80 (3rd Category) |
(Graduation Aggregate%) <=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 | |
| Semester | Heads | (Graduation Aggregate%) >=90.01 (1st Category) |
(Graduation Aggregate%) >=80.01 and <=90 (2nd Category) |
(Graduation Aggregate%) >=70.01 and <=80 (3rd Category) |
(Graduation Aggregate%) <=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 | |
| 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 | |
| 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 | |
| Admission Fee | Enrolment Fee | Caution Money (Refundable after completion of programme) |
|---|---|---|
| 6,000 | 2,000 | 2,000 |
| Examination Fee | Library Fee | Student Welfare Fee | Online Student Information Fee | Professional Fees (Assessment Solution) | Specialization Fee | Total |
|---|---|---|---|---|---|---|
| 4,600 | 800 | 750 | 1,500 | 531 | 5,000 | 13,181 |
| 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 |
| 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 |
| 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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