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BTech Artificial Intelligence & Machine Learning

B.Tech. Artificial Intelligence & Machine Learning

CSE specialization

B.Tech. in Artificial Intelligence & Machine Learning (B.Tech. CSE specialization) aims to help students obtain a practical understanding of various Artificial Intelligence and Machine Learning functions. Both AI and ML are revolutionizing the world in almost every industry and domain. The need for intelligent and critical decision-making across industries has led to the exponential growth in the adoption of AI and ML technologies. As industries open shores for automation and other new-age technologies, the demand for AI and ML professionals has risen to new heights.

To fulfil the increasing need of the industry, The Department of Computer Science & Engineering, at DBUU offers advanced industry-relevant BTech in AI and ML programme that familiarizes students with diverse concepts such as OOPS Programming, Software Engineering, Data Structures, Algorithms, Databases, SDLC, Design Processes, and more. Students will also gain an in-depth knowledge of Machine Learning and Artificial Intelligence concepts by practicing the applications of natural language processing, computer vision, robotics, machine learning pipelines, data, algorithms, models, empirics, and more

DBUU strives to equip students with superior technical skills needed for the 21st century and open avenues for fulfilling careers.

Salient Features

  • 19+ years of academic excellence
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Admissions Open 2024!!

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Eligibility & Fee Details

Duration & Eligibility

4 Years

Candidate must have 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 and have obtained at least 55% marks (50% in case of candidate belonging to reserved category) in the above subjects taken together from a recognized board/university.

Duration & Eligibility(Lateral Entry)

3 Years

Candidate must have Passed Diploma examination with at least 45% marks in ANY branch of Engineering and Technology.

Fee Structure

Course Total Fee
Academic fee ( Per Sem) ₹ 82,500/-
Academic fee ( Per Sem(Lateral Entry)) ₹ 75,000/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500 ₹ 7,000 ₹ 3,000
Exam fees ( Per Semester) 4,500/-

Download Fee Structure

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Download Fee Structure(Lateral Entry)

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Program Educational Objectives (PEO's)

PEO-1 The graduates will establish themselves as experts by solving real-life obstacles following exploratory and analytical skills obtained in CSE -Artificial Intelligence & Machine Learning
PEO-2 The graduates will render sustainable solutions to ever-changing interdisciplinary global problems through their research & innovation capabilities
PEO-3 The graduates will become employable, successful entrepreneurs as a consequence of industry-academia collaboration
PEO-4 The graduates will include a professional code of ethics while implementing a solution to multidisciplinary social problems in an entrepreneurial, industrial, and research environment to display leadership qualities

Program Specific Objectives (PSO's)

PSO-1 Explore logic and thinking methods from a computational perspective
PSO-2 Acquire about an agent, search, probabilistic models, knowledge and insight, and machine learning
PSO-3 Learn about the state of the art technologies like Human-Computer Interaction, Deep Learning, and Augmented Reality
PSO-4 Design solutions for difficult engineering problems and design system elements or methods that meet the defined needs with relevant consideration for public health and safety and the environmental, cultural, societal, and considerations

Program Grid Structure


Semester 1

Course Code Course Credit
21BTBS101 Calculus and Linear Algebra 4
21BTBS102/ 21BTBS103 Engineering Physics/ Engineering Chemistry 4
21BTCS101 Algorithm Thinking & Problem Solving using C 3
21BTME101/ 21BTEC101 Elements of Mechanical Engineering / Elements of Electronics & Communication 3
23BTEE101/ 23BTCS102 Elements of Electrical Engineering/ Python Programming 3
23LS191/23LS192 English Communication/Environmental Studies 2
21BTBS181/ 21BTBS182 Engineering Physics/ Engineering Chemistry Lab 1
21BTCS181 Programming for Problem solving Lab 1
21BTME181/ 21BTEC181 Elements of Mechanical Engineering / Elements of Electronics & Communication Lab 1
21BTME182 Computer Aided Engineering Drawing 1
23BTEE181/ 23BTCSE282 Elements of Electrical Engineering Lab/ Python Lab 1
VAM103XX Value Added Course-I 0

Semester 2

Course Code Course Credit
21BTBS201 Differential Equations & Numerical Methods 4
21BTBS102/ 21BTBS103 Engineering Physics/ Engineering Chemistry 4
23BTEE101/23BTCS102 Elements of Electrical Engineering/Python Programming 3
21BTCS201/21BTCE201 Data Structures/Elements of Civil Engineering & Mechanics 3
21BTME101/21BTEC101 Elements of Mechanical Engineering / Elements of Electronics & Communication 3
23LS191 / 23LS192 English Communication / Environmental Studies 2
21BTBS182/ 21BTBS183 Engineering Physics/Engineering Chemistry Lab 1
23BTEE181/ 23BTCS182 Elements of Electrical Engineering Lab/ Python Lab 1
21BTME181 / 21BTEC181 Elements of Mechanical Engineering / Elements of Electronics & Communication Lab 1
21BTCS281/21BT ME281 Data Structures Lab/Workshop Practices 1
VAM203XX Value Added Course-II 0
Social Internship of 3-4 weeks duration in summer vacation after completion of Second Semester, to be evaluated during 3rd semester

Semester 3

Course Code Course Credit
21BTCS301 Object Oriented Programming 3
21BTCS302 Digital Electronics 4
21BTCS303 Design and Analysis of Algorithms 4
21BTCS304 Discrete Mathematical Structures 3
21BTCS305 Operating System 3
23AEC391 Ability Enhancement Course-I 1
23LS291 Indian knowledge System 0
21BTCS381 Object Oriented Programming Lab 1
21BTCS382 Digital Electronics Lab 1
23SOCIALIN391 Social Internship 1
VAM303XX Value Added Course-III 0

Semester 4

Course Code Course Credit
21BTCS401 Theory of Automata and Formal Language 3
21BTCS402 Data Communication and Computer Networks 3
21BTCS403 Advanced Database Management Systems 3
21BTCS404 Computer System Architecture 3
23AEC491 Ability Enhancement Course-II 1
230E46X Open Elective-I 2
23LS391 Universal Human Values 3
21BTCS481 Data Communication and Computer Networks Lab 1
21BTCS482 Advanced Database Management Systems Lab 1
21BTCS484 Computer System Architecture 1
VAM403XX Value Added Course-IV 0
Internship of 3-4 weeks duration in summer vacation after completion of fourth Semester, to be evaluated during 5th semester

Semester 5

Course Code Course Credit
21BTCS501 Object Oriented Analysis and Design 3
21BTCS502 Data Warehousing and Data Mining 3
21BTCS503 Mobile & Adhoc Computing 3
21BTCS504 Full Stack Development 3
21BTCS505 Micro Processor & Embedded Systems 3
21BTCS51X Programme Elective-I 3
23AEC591 Ability Enhancement Course-III 1
21BTCS581 Object Oriented Analysis and Design Lab 1
21BTCS582 Full Stack Development Lab 1
23PSPR591XX Minor Project-I 1
23PSIN591 Internship 1
VAM503XX Value Added Course-V 0

Semester 6

Course Code Course Credit
21BTCS601 Software Engineering 3
21BTCS602 Cloud Computing Technologies 3
21BTCS603 Compiler Design 3
23BTCS604 Machine Learning 3
21BTCS61X Programme Elective-II 3
230E66X Open Elective-II 2
23AEC691 Ability Enhancement Course-IV 1
21BTCS681 Software Engineering Lab 1
21BTCS682 Cloud Computing Technologies Lab 1
21BTCS683 Machine Learning Lab 1
23PSPR691XX Minor Project-II 1
VAM603XX Value Added Course-VI 0

Semester 7

Course Code Course Credit
21BTCS71X Programme Elective -III 3
23BTCS72X Programme Elective -IV 3
23PSPR791XX Major Project-I 4
(Honors in Research)
21PHCC101 Research Methodology* 4*

Semester 8

Course Code Course Credit
23BTCS81X Programme Elective -V 3
23LS803 Indian Constitution 0
230E86X Open Elective-III 2
21BTCS881 Major Project-II 8
(Honors in Research)
23RND891XX Research Work* 8*
Programme Elective

Programme Elective-I

S.No. Course Code Course Name
1 21BTCS511 Fundamentals of Security in IT
2 21BTCS512 Probability & Statistics
3 21BTCS513 System Administration
4 21BTCS514 Introduction to IOT & Blockchain

Programme Elective-II

S.No. Course Code Course Name
1 21BTCS611 Cyber Security
2 21BTCS612 Data Visualization
3 21BTCS613 Client Server Computing
4 21BTCS614 IOT Application and Communication

Programme Elective-III

S.No. Course Code Course Name
1 21BTCS711 Wireless Network Security
2 21BTCS712 Deep Learning
3 21BTCS713 Sensor Networks & IOT

Programme Elective-IV

S.No. Course Code Course Name
1 21BTCS711 Cryptography & Network Security
2 21BTCS712 Data Science
3 21BTCS714 Optimization Technique

Programme Elective-V

S.No. Course Code Course Name
1 23BTCS811 Computer Forensics
2 21BTCS812 Hadoop and Big Data Analytics
3 21BTCS813 Advanced Wireless Network
3 21BTCS814 Robotics Process Automation

Job Opportunities The Course Might Lead To

The increasing prominence of AI and ML in the market has opened a lot of avenues for students; some such profiles include:

  • Software Developer or Python Developer- Machine Learning/NLP
  • Speech Scientist- Artificial Intelligence/Machine Learning
  • AI/ML Analyst- Machine Learning Engineer
  • Researcher- Machine Learning
  • Image processing Engineer- Artificial Intelligence/Machine Learning
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Admission 2023-24

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