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Apply NowArtificial Intelligence and Machine learning (AI &ML) relates to the field of computer science 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 chatbots, 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 or 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 computer science engineering program.
In order to communicate with machines, students would first learn the machine’s special language. As a result, students are taught the languages that can be entered into the machine during the programme. The program covers a variety of computer languages, including JAVA and Python. Students will also gain a thorough understanding of machine learning and artificial intelligence through solving real-world issues in a range of application domains, such as Robotic Intelligence & Design, Machine Learning on Databases, Computer Aided drivers, Computer vision, Natural Language Processing and so on. Students will gain knowledge of the machine learning pipeline, as well as data, models, algorithms, and empirical research.
Apply NowAI&ML has a fantastic job option. According to recent analysis, Machine Learning Engineer is the best career in terms of pay, job growth, and overall demand. There are several job paths to select from within the sector. After having background in AI&ML, one can work as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, or Human-Centered Machine Learning Designer.
| Semester | Heads | (12th Aggregate%) >=90.01 (1st Category) |
(12th Aggregate%) >=80.01 and <=90 (2nd Category) |
(12th Aggregate%) >=70.01 and <=80 (3rd Category) |
(12th Aggregate%) <=70 (4th Category) |
|---|---|---|---|---|---|
| 1st Semester | Tuition Fee | 90,280 | 90,280 | 90,280 | 90,280 |
| Merit Scholarship | 27,084 | 18,056 | 9,028 | -- | |
| Net Tuition Fee | 63,196 | 72,224 | 81,252 | 90,280 | |
| 2nd Semester | Tuition Fee | 90,280 | 90,280 | 90,280 | 90,280 |
| Merit Scholarship | 27,084 | 18,056 | 9,028 | -- | |
| Net Tuition Fee | 63,196 | 72,224 | 81,252 | 90,280 | |
| Total Fee year wise inclusive of other charges | (1st Category) 1,55,692 | (2nd Category) 1,73,748 | (3rd Category) 1,91,804 | (4th Category) 2,09,860 | |
| Semester | Heads | (12th Aggregate%) >=90.01 (1st Category) |
(12th Aggregate%) >=80.01 and <=90 (2nd Category) |
(12th Aggregate%) >=70.01 and <=80 (3rd Category) |
(12th Aggregate%) <=70 (4th Category) |
|---|---|---|---|---|---|
| 1st Semester | Tuition Fee | 1,22,000 | 1,22,000 | 1,22,000 | 1,22,000 |
| Students Diversity Scholarship | 22,000 | 22,000 | 22,000 | 22,000 | |
| Merit Scholarship | 30,000 | 20,000 | 10,000 | - | |
| Net Tuition Fee | 70,000 | 80,000 | 90,000 | 100,000 | |
| 2nd Semester | Tuition Fee | 1,22,000 | 1,22,000 | 1,22,000 | 1,22,000 |
| Students Diversity Scholarship | 22,000 | 22,000 | 22,000 | 22,000 | |
| Merit Scholarship | 30,000 | 20,000 | 10,000 | - | |
| Net Tuition Fee | 70,000 | 80,000 | 90,000 | 100,000 | |
| Total Fee year wise inclusive of other charges | (1st Category) 1,69,300 | (2nd Category) 1,89,300 | (3rd Category) 2,09,300 | (4th Category) 2,29,300 | |
| 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 | 90,280 | 90,280 | 90,280 | 90,280 |
| Merit Scholarship | 27,084 | 18,056 | 9,028 | -- | |
| Net Tuition Fee | 63,196 | 72,224 | 81,252 | 90,280 | |
| 4th Semester | Tuition Fee | 90,280 | 90,280 | 90,280 | 90,280 |
| Merit Scholarship | 27,084 | 18,056 | 9,028 | -- | |
| Net Tuition Fee | 63,196 | 72,224 | 81,252 | 90,280 | |
| Total Fee year wise inclusive of other charges | (1st Category) 1,55,692 | (2nd Category) 1,73,748 | (3rd Category) 1,91,804 | (4th Category) 2,09,860 | |
| 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 | 1,22,000 | 1,22,000 | 1,22,000 | 1,22,000 |
| Students Diversity Scholarship | 22,000 | 22,000 | 22,000 | 22,000 | |
| Merit Scholarship | 30,000 | 20,000 | 10,000 | - | |
| Net Tuition Fee | 70,000 | 80,000 | 90,000 | 100,000 | |
| 4th Semester | Tuition Fee | 1,22,000 | 1,22,000 | 1,22,000 | 1,22,000 |
| Students Diversity Scholarship | 22,000 | 22,000 | 22,000 | 22,000 | |
| Merit Scholarship | 30,000 | 20,000 | 10,000 | - | |
| Net Tuition Fee | 70,000 | 80,000 | 90,000 | 100,000 | |
| Total Fee year wise inclusive of other charges | (1st Category) 1,69,300 | (2nd Category) 1,89,300 | (3rd Category) 2,09,300 | (4th Category) 2,29,300 | |
| Admission Fee | Enrolment Fee | Caution Money (Refundable after completion of programme) |
|---|---|---|
| 10,000 | 2,000 | 2,000 |
| Examination Fee | Library Fee | Student Welfare Fee | Online Student Information Fee | Total |
|---|---|---|---|---|
| 4,600 | 800 | 750 | 1,500 | 7,650 |
| 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 |
| Transportation Fee for Doiwala Route per Academic Year | 22,000 |
| Transportation Fee for Other Routes per Academic Year | 20,000 |
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1. | TPH 101/ TCY 101 | Engineering Physics/ Engineering Chemistry | 3 |
| 2. | TMA 101 | Engineering Mathematics-I | 3 |
| 3. | TEE 101/ TEC 101 | Basic Electrical Engineering/ Basic Electronics Engineering | 3 |
| 4. | TCS 101 | Programming for Problem Solving | 3 |
| 5. | TME101/THU101 | Fundamentals of Mechanical Engineering & Mechatronics/Technical comuunication Skill | 3 |
| 6. | PPH 101/ PCY 101 | Engineering Physics Lab/ Engineering Chemistry Lab | 1 |
| 7. | PEE 101/ PEC 101 | Basic Electrical Engineering Lab/ Basic Electronics Engineering Lab | 1 |
| 8. | PCS 101 | Programming for Problem Solving | 1 |
| 9. | PEG 101/ PWS 101 | Engineering Graphics & Design Lab/Workshop Practice Lab | 1 |
| 10. | PME101/ PHU 101 | Mechanical Engineering & Mechatraonics Lab/Comuunication Skills Lab | 1 |
| 11. | TESN101/TCSN101 | Environmental Science/Introduction To Cyber Physical System** | - |
| 12. | MOOC | - | - |
| Total credit Sem. I | 20 |
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1. | TPH 201/ TCY 201 | Engineering Physics/ Engineering Chemistry | 3 |
| 2. | TMA 201 | Engineering Mathematics-II | 3 |
| 3. | TEE 201/ TEC 201 | Basic Electrical Engineering/Basic Electronics Engineering | 3 |
| 4. | TCS 201 | Introduction to Python Programming | 3 |
| 5. | TME201/THU201 | Fundamentals of Mechanical Engineering & Mechatronics/Technical comuunication Skills | 3 |
| 6. | PPH 201/ PCY 201 | Engineering Physics Lab/Engineering Chemistry Lab | 1 |
| 7. | PEE 201/ PEC 201 | Basic Electrical Engineering Lab/ Basic Electronics Engineering Lab | 1 |
| 8. | PCS 201 | Python Programming Lab | 1 |
| 9. | PEG201/ PWS 201 | Engineering Graphics & Design Lab/ Mechanical Workshop Lab | 1 |
| 10. | PME201/PHU201 | Mechanical Engineering & Mechatraonics Lab/Communication Skills Lab | 1 |
| 11. | TESN201/TCSN201 | Environmental Science/Introduction To Cyber Physical System** | NC |
| 12. | MOOC | - | - |
| Total credit Sem. II | 20 |
* The Mini Project or internship (3-4 weeks) conducted during summer break after II semester and will be assessed during III semester.
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1 | TCS-301 | Data Structure with C | 3 |
| 2 | TCS-302 | Operating System | 3 |
| 3 | TCS-303 | Discrete Structure | 3 |
| 4 | TCS-304 | Data Base Management System | 4 |
| 5 | TCS-305 | Programming In Core Java | 4 |
| 6 | PCS-301 | Data Structure with C Lab | 1 |
| 7 | PCS-302 | Operating System Lab | 1 |
| 8 | PCS-304 | Data Base Management System Lab | 1 |
| 9 | PCS-305 | Programming In Core Java Lab | 1 |
| 10 | TCS-311 | Machine Learning-I | 3 |
| 11 | PCS-311 | Machine Learning-I Lab | 1 |
| 12 | TCS-312 | Fundamentals of Data Science | 3 |
| 13 | CSS-01 | Mini Project or Internship Assessment* | 1 |
| 14 | TCSN301 | Human Computer Interaction** | - |
| 15 | MOOCs | ||
| Total credit Sem. III | 29 | ||
* The Mini Project or internship (3-4 weeks) conducted during summer break after II semester and will be assessed during III semester.
**Non Credit Course
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1 | TCS-401 | Advanced Java Programming | 3 |
| 2 | TCS-402 | Design Analysis Of Algortihm | 4 |
| 3 | TCS-403 | Theory Of Computation | 3 |
| 4 | TCS-411 | Machine Learning-II | 3 |
| 5 | TCS-412 | Expert System | 4 |
| 6 | THU-401 | Human Values and Professional Ethics | 3 |
| 7 | TEC-406 | Digital Electronics | 3 |
| 8 | PEC-406 | Digital Electronics Lab | 1 |
| 9 | PCS-401 | Advanced Java Programming Lab | 1 |
| 10 | PCS-402 | Design Analysis Of Algortihm Lab | 1 |
| 11 | PCS-411 | Machine Learning-II Lab | 1 |
| 12 | TCSN-401 | Digital Image Processing** | - |
| 13 | MOOCs | ||
| Total credit Sem. IV | 24 | ||
**Non Credit Course
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1 | TCS-501 | Web Technology Through Php | 4 |
| 2 | TCS-502 | Computer Networks | 4 |
| 3 | TCS-503 | Visual Programming and Dot.net Technologies | 3 |
| 4 | TCS-511 | Machine Learning III | 4 |
| 5 | TCS-512 | Introduction Of Soft Computing | 3 |
| 6 | TEC-501 | Microprocessor &Microcontroller | 3 |
| 7 | PCS-501 | Web Technology Through Php Lab | 1 |
| 8 | PCS-502 | Computer Networks Lab | 1 |
| 9 | PCS-503 | Visual Programming and Dot.net Technologies | 1 |
| 10 | PCS-511 | R Programming Lab | 1 |
| 11 | CSS-02* | Mini Project or Internship Assessment* | 1 |
| 12 | THUN-501 | Introduction to India Constitution** | - |
| 13 | MOOCs | ||
| Total credit Sem. V | 26 | ||
* The Mini Project or internship (4 weeks) conducted during summer break after IV semester and will be assessed during V semester.
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1 | TCS-601 | Artificial Intelligence | 3 |
| 2 | TCS-602 | Compiler Design | 4 |
| 3 | TOXX-6XX | Open Elective-I(University Basket) | 3 |
| 4 | TCS-604 | Computer Graphics | 3 |
| 5 | TCS-605 | Research Methodologies & Intellectual property Rights | 3 |
| 6 | TCS-611 | Image Processing and Pattern Recognition | 4 |
| 7 | TCS-612 | Neural network and Deep Learning | 4 |
| 8 | PCS-601 | Artificial Intelligence Lab | 1 |
| 9 | PCS-602 | Compiler Design Lab | 1 |
| 10 | PCS-604 | Computer Graphics Lab | 1 |
| 11 | PCS-611 | Pattern Recognition Using MATLAB | 1 |
| 12 | THUN-601 | Essence of Indian Traditional Knowledge | - |
| 13 | MOOCs | ||
| Total credit Sem. VI | 28 | ||
**Non Credit Course
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1 | TCS-701 | Advanced Computer Architecture | 3 |
| 2 | TCS-702 | Distributed System | 3 |
| 3 | TCS-7XX | Departmental Elective-I | 3 |
| 4 | TOXX-7XX | Open Elective-II | 3 |
| 5 | CSS-03 | Mini Project or Internship Assessment* | 1 |
| 6 | CSP-01 | Minor Project | 4 |
| 7 | MOOCs | ||
| Total credit Sem. VII | 17 | ||
* The Mini Project or internship (4 - 6 weeks) conducted during summer break after VI semester and will be assessed during VII semester.
| Sr. No. | Course Code | Course Name | Credits |
|---|---|---|---|
| 1 | THU-801 | Entrepreneurship Development | 3 |
| 2 | TCS-8XX | Departmental Elective-II | 3 |
| 3 | TCS-8XX | Departmental Elective-III | 3 |
| 4 | TOXX-8XX | Open Elective-III | 3 |
| 5 | CSP-02 | Major Project | 8 |
| 6 | MOOCs | ||
| Total credit Sem. VIII | 20 | ||
| Sr. No. | Subject Code | Subject Name | Credit |
|---|---|---|---|
| 1 | TCS-711 | Cyber Forensics | 3 |
| 2 | TCS-712 | Softwae Engineering | 3 |
| Sr. No. | Subject Code | Subject Name | Credit |
|---|---|---|---|
| 1 | TCS-811 | Data Science Applications | 3 |
| 2 | TCS-812 | Blockchain Technologies | 3 |
| 3 | TCS-813 | Cloud Security | 3 |
| Sr. No. | Subject Code | Subject Name | Credit |
|---|---|---|---|
| 1 | TCS-814 | Virtual Reality | 3 |
| 2 | TCS-815 | Mobile Computing and Applications | 3 |
| Sr. No. | Subject Code | Subject Name | Credit |
|---|---|---|---|
| 1 | TOCS-701 | Computer System Security | 3 |
| 2 | TOCS-801 | Mobile Networks | 3 |
| Sr. No. | Subject Code | Subject Name | Credit |
|---|---|---|---|
| 1 | TOCS-601 | Emerging Trends In computer Science | 3 |
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Know More
The institute provide a specialization in Artificial Intelligence & Machine Learning. Artificial Intelligence, or AI, is a branch of computer science that emphasises the creation of intelligent machines that behave like humans. We took a step forward to bring this emerging technology to specialization as graduates will learn to build algorithms and machines which can work on themselves and discover new horizons of knowledge on augmented reality and neural networks.
The method of creating smart machines, also known as intelligent machines, is designed to assist in the decision-making process, which is analysed in detail using data available within an enterprise. It works in the same manner as humans do when synthesizing data and making reasonable decisions. However, in this situation, the decision is made after reviewing a large amount of data.
Machine Learning is a branch of artificial intelligence that allows computers to learn and develop on their own without having to be directly programmed. Machine Learning degrees educate students on how to build self-learning computer systems by combining algorithms and statistical models.
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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.
Uttaranchal University has come a long way since its inception providing world-class education in diverse domains.
I sincerely express my gratitude to Uttaranchal University for exposing me to a plethora of opportunities for both growing and learning. With the guidance and support of all the faculty Members I realized my competence and gained confidence. The varied skills I attained here helped me in achieving the first step towards realizing my future aspirations.
I am really proud to say that I studied in this esteemed institute, under the supervision of great knowledgeable teachers, where I, not only got an education but also an appropriate exposure towards life and ethical thinking. Mental toughness, positive attitude and discipline needed to be able to sail through the ocean for days and had been inculcated in me during my time at Uttaranchal Institute of Technology, now a Faculty of Uttaranchal University. My prayers are with the institute and its faculty members. May this University flourish and help society to produce good citizens.
After extensive research amongst all the Colleges, I chose Uttaranchal Institute of Technology, now a Faculty of Uttaranchal University, as my destination. I learned a lot from my professors, mentors and classmates including the significance of hard work and determination. The education I attained here made me feel confident of my skills and knowledge which encouraged me to always move forward and not settle for less. I would also like to thank all my professors, mentors and batchmates for playing an important role in shaping my career.
My years in Uttaranchal University are the best years with regard to learning, experience and gaining exposure of fields relevant to my discipline. Uttaranchal University responds to the needs of the 21st Century nurturing talent and transforming lives of its students through excellence in teaching, training and research. The teaching pedagogy facilitates the students to develop an understanding of conceptual and analytical framework in professional practices and motivates them to attain knowledge and technical skills.
Studying Computer Science at Uttaranchal Institute of Technology, I always admire the unique learning atmosphere. At UIT, learning is so much fun! You feel like a part of the close-knit team, where each professor, each staff member, and each of your peers are always ready to support and guide you. Professional teaching, creative classes, effective explanations, and entertaining material that you get here- all contribute to your success in any industry!
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