B.Tech. (Hons.) CSE with specialization in Artificial Intelligence & Machine Learning (AI&ML)

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Best CSE Artificial Intelligence & Machine Learning College in India

Artificial 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.

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Career Prospects:

AI&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.

Globally

Comparable,

Flexible

and Choice

Based Academics

Globally

Comparable,

Flexible

and Choice

Based Academics

Eligibility & Fee Details

Uttarakhand Quota (Amount of fee details in INR)

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

All India Quota (Amount of fee details in INR)

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

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 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

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)
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

One Time Payable Charges in 1st Semester (INR)

Admission Fee Enrolment Fee Caution Money
(Refundable after completion of programme)
10,000 2,000 2,000

Other Charges Per Semester (INR)

Examination Fee Library Fee Student Welfare Fee Online Student Information Fee Total
4,600 800 750 1,500 7,650

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 Routes per Academic Year 20,000

Eligibility

  • Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Computer Science/Electronics/Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship.
  • Minimum 50% marks for general and 45% in case of SC/ST category.
For Lateral Entry
  • Passed 3 years Diploma in Engineering/ 2 years Diploma in Engineering (Lateral Entry)/B.Sc. with PCM Examination.
  • Minimum 60% marks in case of general category; 55% marks in case of SC/ST category

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.
  • Specialization Fee Rs. 10000/- from 3rd Semester and Onwards will be applicable for Artificial Intelligence & Machine Learning

Admission Procedure:

Programme Structure

Under Choice Based Credit System (CBCS)

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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Why join B.Tech. (Hons.) CSE with specialization in Artificial Intelligence & Machine Learning (AI&ML)

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.

  • Here are some of the reasons why you might want to pursue a career in AI & machine learning.
    • Artificial intelligence and machine learning is the skill of the century.
    • Artificial intelligence and machine learning is a versatile discipline.
    • Exciting opportunities.
    • Real-life maths and data analytics applications.
    • New paths for computer programming.
    • Excellent career prospects.
  • What are the career options post Big Data Analytics
    • AI Engineer.
    • AI Data Analyst.
    • Business Intelligence Developer.
    • Robotics Scientist.
    • Research Scientist.
    • Human-Centered Machine Learning Designer.
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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.

Exposing me to a plethora of opportunities

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.

An appropriate exposure towards life

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.

I learned a lot from my professors

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.

Best years with regard to learning

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.

Feel like a part of the close-knit team

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!