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 Uttaranchal, 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, Best CSE Artificial Intelligence & Machine Learning College in Uttaranchal, India 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

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

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 Academic Fee 1,00,270 1,00,270 1,00,270 1,00,270
Merit Scholarship 30,081 20,054 10,027 --
Net Academic Fee 70,189 80,216 90,243 1,00,270
2nd Semester Academic Fee 1,00,270 1,00,270 1,00,270 1,00,270
Merit Scholarship 30,081 20,054 10,027 --
Net Academic Fee 70,189 80,216 90,243 1,00,270
Total Fee year wise inclusive of other charges (1st Category) 1,69,678 (2nd Category) 1,89,732 (3rd Category) 2,09,786 (4th Category) 2,29,840

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 Academic Fee 1,35,500 1,35,500 1,35,500 1,35,500
Students Diversity Scholarship 25,500 25,500 25,500 25,500
Merit Scholarship 33,000 22,000 11,000 -
Net Academic Fee 77,000 88,000 99,000 1,10,000
2nd Semester Academic Fee 1,35,500 1,35,500 1,35,500 1,35,500
Students Diversity Scholarship 25,500 25,500 25,500 25,500
Merit Scholarship 33,000 22,000 11,000 -
Net Academic Fee 77,000 88,000 99,000 1,10,000
Total Fee year wise inclusive of other charges (1st Category) 1,83,300 (2nd Category) 2,05,300 (3rd Category) 2,27,300 (4th Category) 2,49,300

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 Academic Fee 1,00,270 1,00,270 1,00,270 1,00,270
Merit Scholarship 30,081 20,054 10,027 --
Net Academic Fee 70,189 80,216 90,243 1,00,270
4th Semester Academic Fee 1,00,270 1,00,270 1,00,270 1,00,270
Merit Scholarship 30,081 20,054 10,027 --
Net Academic Fee 70,189 80,216 90,243 1,00,270
Total Fee year wise inclusive of other charges (1st Category) 1,69,678 (2nd Category) 1,89,732 (3rd Category) 2,09,786 (4th Category) 2,29,840

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 Academic Fee 1,35,500 1,35,500 1,35,500 1,35,500
Students Diversity Scholarship 25,500 25,500 25,500 25,500
Merit Scholarship 33,000 22,000 11,000 -
Net Academic Fee 77,000 88,000 99,000 1,10,000
4th Semester Academic Fee 1,35,500 1,35,500 1,35,500 1,35,500
Students Diversity Scholarship 25,500 25,500 25,500 25,500
Merit Scholarship 33,000 22,000 11,000 -
Net Academic Fee 77,000 88,000 99,000 1,10,000
Total Fee year wise inclusive of other charges (1st Category) 1,83,300 (2nd Category) 2,05,300 (3rd Category) 2,27,300 (4th Category) 2,49,300

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

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 60% marks for general and 55% 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 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.
  • The Net Academic 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 TMA 101/ TPH 101 Engineering Mathematics / Engineering Physics 3
2 TCS 101 Programming for Problem Solving 3
3 TME 101/ TAE 101/ TAE 102 Fundamentals of Mechanical Engineering/ Aero-Thermodynamics /Fundamentals of Computational Mechanics &Robotics 3
4 TEE 101/ TEC 101/ TCE 101 Fundamentals of Electrical Engineering/ Fundamentals of Electronics Engineering/ Elements of Basic Civil Engineering 3
5 THU 101/ TES 101 Technical Communication Skills/ Environmental Science 2
6 PEE 101/ PEC 101/ PCE 101 Fundamentals of Electrical Engineering Lab/ Fundamentals of Electronics Engineering Lab/ Elements of Basic Civil Engineering Lab 1
7 PCS 101 Programming for Problem Solving Lab 1
8 PME 101/ PPH 101 /PAE-102 Fundamentals of Mechanical Engineering Lab/Engineering Physics Lab / Aero-Thermodynamics Lab 1
9 PHU 101/ PES 101 Technical Communication Skills Lab/ Environmental Science Lab 1
10 PME 111/ PME 112 Computer Aided Engineering Graphics & Design Lab / Workshop Practice Lab 1
11 PCS 111/ PCS 112 Web Design Lab/SQL Programming Lab 1
Total credit Sem. I 20

Sr. No. Course Code Course Name Credits
1 TMA 151/ TPH 151 Engineering Mathematics /Engineering Physics 3
2 TCS 151 Introduction to Python programming 3
3 TME 151/ TAE 151/ TAE 152 Fundamentals of Mechanical Engineering/ Aero-Thermodynamics /Fundamentals of Computational Mechanics &Robotics 3
4 TEE 151/ TEC 151/ TCE 151 Fundamentals of Electrical Engineering/ Fundamentals of Electronics Engineering/ Building Materials and Constructions 3
5 THU 151/ TES 151 Technical Communication Skills/ Environmental Science 2
6 PEE 151/ PEC 151/ PCS 151 Fundamental of Electrical Engineering Lab/ Fundamentals of Electronics Engineering Lab/ Building Materials and Constructions Lab 1
7 PCS 151 Python Programming Lab 1
8 PME 151/ PPH 151/ PAE-152 Fundamentals of Mechanical Engineering Lab/Engineering Physics Lab / Aero-Thermodynamics Lab 1
9 PHU 151/ PES 151 Technical Communication Skills Lab/ Environmental Science Lab 1
10 PME 161/ PME 162 Computer Aided Engineering Graphics & Design Lab / Workshop Practice Lab 1
11 PCS 161/ PCS 162 Web Design Lab /SQL Programming Lab 1
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-200 Data Structure 4
2 TCS-201 Operating System 3
3 TCS-202 Discrete Structure 3
4 TCS-203 Data Base Management System 4
5 TCS-211 Machine Learning-I 4
6 TCS-212 Fundamentals Of Data Science 3
7 PCS-200 Data Structure with C Lab 1
8 PCS-201 Operating System Lab 1
9 PCS-203 Data Base Management System Lab 1
10 PCS-211 Machine Learning-I Lab 1
11 CSS-241 Mini Project or Internship Assessment* 1
Total credit Sem. III 26

* 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-251 Java Programming 3
2 TCS-252 Design Analysis Of Algorithm 3
3 TCS-253 Theory Of Computation 3
4 TCS-254 Programming With PHP 3
5 TCS-255 Digital Electronics 3
6 TCS-261 Machine Learning-II 3
7 TCS-262 Expert System 3
8 PCS-251 Java Programming Lab 1
9 PCS-252 Design Analysis Of Algorithm Lab 1
10 PCS-254 Programming With PHP Lab 1
11 PCS-261 Machine Learning-II lab 1
Total credit Sem. IV 25

**Non Credit Course

Sr. No. Course Code Course Name Credits
1 TCS-300 Full Stack Development 3
2 TCS-301 Computer Networks 4
3 TCS-302 Visual Programming and Dot.net Technologies 3
4 TCS-304 Software Engineering 3
5 TCS-311 Machine Learning-III 4
6 TCS-312 Introduction to soft computing 3
7 PCS-300 Full Stack Development lab 1
8 PCS-301 Computer Network Lab 1
9 PCS-302 Visual Programming and Dot.net Technologies 1
10 PCS-311 R programming Lab 1
11 CSS-341 Mini Project or Internship Assessment* 1
Total credit Sem. V 25

* 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-351 Artificial Intelligence 4
2 TCS-352 Compiler Design 4
3 TCS-353 Computer Graphics 4
4 TCS-361 Image Processing and Pattern Recognition 4
5 TCS-362 Nural Network and Deep Learning 3
6 TOCS-35X Open Elective-I (University Basket) 3
7 PCS-351 Artificial Intelligence Lab 1
8 PCS-352 Compiler Design Lab 1
9 PCS-353 Computer Graphics Lab 1
10 PCS-361 Pattern Recognition using MATLAB 1
Total credit Sem. VI 26

**Non Credit Course

Sr. No. Course Code Course Name Credits
1 TCS-401 Big Data Analytics 3
2 ED-401 Entrepreneurship Development 2
3 TCS-40X Department Elective-I 3
4 PCS-411 Block-Chain Technologies 4
5 PCS-401 Big Data Analytics Lab 1
6 CSS-401 Mini Project or Internship Assessment* 1
7 CSP-01 Minor Project 4
9 TOCS-401 Open Elective-II 3
Total credit Sem. VII 21

• MOOCs (Credit Transfer as per policy)
*The Industrial/Field Training (3-4 weeks) conducted during summer break after sixth semester, will be assessed in VII - semester.

Sr. No. Course Code Course Name Credits
1 TCS-451 Distributed Algorithm 4
2 TCS-45X Departmental Elective-II 3
3 TCS-45X Departmental Elective-III 3
4 TOCS-45X Open Elective-II 3
5 CSP-02 Major Project 8
Total credit Sem. VIII 21

• MOOCs (Credit Transfer as per policy)

Sr. No. Subject Code Subject Name Credit
1 TCS-402 Research Methodology and IPR 3
2 TCS-403 Quantum Computation and Quantum Information 3

Sr. No. Subject Code Subject Name Credit
1 TCS-452 Data Science Application 3
2 TCS-453 Application of Machine Learning in Industries 3
3 TCS-454 Virtual Reality 3
4 TCS-455 Game Programming 3

Sr. No. Subject Code Subject Name Credit
1 TCS-456 Data Warehouse and Data Mining 3
2 TCS-457 Mobile Computing and Applications 3
3 TCS-458 High Performance Computing 3
4 TCS-459 Computational Linguistics and natural language processing 3

Sr. No. Subject Code Subject Name Credit
1 TOCS-355 Emerging Technologies of Computer Science 3

Sr. No. Subject Code Subject Name Credit
1 TOCS-451 Mobile Networks 3

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

UIT 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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