DAU’s B.Tech. in ICT (Hons) with minor in Computational Science (ICT-CS) is a four-year undergraduate program designed for students who wish to combine strong foundations in Information and Communication Technology (ICT) with the power of computational and scientific problem solving. As modern science, engineering, industry, and society increasingly rely on data-driven modelling, simulation, optimization, and high-performance computing, computational science has emerged as a key interdisciplinary field connecting computing, mathematics, and real-world applications.

The program integrates core areas of computing with computational methods used to study and solve complex problems arising in physics, engineering, biology, finance, climate science, networks, and other domains. Students develop expertise in programming, algorithms, mathematical modelling, numerical methods, data analysis, simulation, and scientific computing tools. The curriculum is designed to prepare graduates for careers in research, technology, analytics, scientific software development, and emerging computational industries, while also providing a strong foundation for higher studies and interdisciplinary research.

Programme Outcomes (POs)

PO No.	Programme Outcomes
PO1	Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2	Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
PO3	Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4	Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5	Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6	The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7	Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9	Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10	Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11	Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12	Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

The Programme Specific Outcomes (PSOs) set the following goal:

After the successful completion of the B.Tech. (Honours) in ICT with minor in Computational Science programme, students will have:

PSO No.	Program Specific Outcomes (PSOs)
PSO1	To apply the theoretical concepts of computer engineering and practical knowledge in analysis, design and development of computing systems and interdisciplinary applications.
PSO2	Develop system solutions involving both hardware and software modules
PSO3	To work as a socially responsible professional by applying ICT principles in real-world problems.

Program Outcomes (POs) & Course Outcomes (COs) of The Program

Syllabus of The Program

Program Structure

The B.Tech. ICT (Hons) with minor in Computational Science (ICT-CS) program follows the Common Curriculum Framework (CCF) for B.Tech. programs at DAU. The curriculum combines institute-level foundational courses with specialized training in computational science, scientific computing, and modern computational technologies. Under the CCF, students complete Institute Core courses, Program Core courses, Program Electives, and Free Electives, along with co-curricular activities, internships, certificate courses, and a final B.Tech. Project / Internship.

The program is structured to progressively build computational thinking and scientific problem-solving skills. The early semesters focus on mathematics, programming, basic sciences, communication skills, and foundational ICT concepts. The middle semesters develop expertise in data structures, algorithms, computational numerical methods, modelling and simulation, databases, and high-performance computing. The later semesters provide advanced exposure to computational modelling, data-driven methods, complex systems, scientific applications, interdisciplinary electives, research projects, internships, and the final B.Tech. Project / Internship.

Course Categories

• Institute Core (IC): Mandatory courses common to all B.Tech. students under the Common Curriculum Framework.
• Program Core (PC): Mandatory courses specific to the ICT (Hons) with Minor in Computational Science (ICT-CS)program.
• Program Electives (PE): Elective courses in the primary areas of the ICT program.
• Free Electives (FE): Courses outside the primary area of the program; at least one Free Elective should be from HSSE.

Broad Curriculum Components

• Foundation and Core Courses: Students build strength in programming, algorithms, data structures, systems, databases, mathematics, machine learning
• Elective Courses: From the semester four onward, students broaden or deepen their exposure through structured elective baskets.
• Internships and Project Work: The curriculum includes a Rural Internship, a Summer Research / Industry Internship, project-based elective options in later semesters, and a final-semester B.Tech. Project / Internship.
• Co-curricular, Design, and Certificate Components: The common framework includes co-curricular activities, design/exploration components, and two online certificate courses.
• Minor Courses: Three Core Courses (Sem 3-5) Computational and Data-Driven Methods, Modelling & Simulation, High Performance Parallel Computing and one elective course from Advanced AI or Complex Systems or Applied Domain or Physical Science.

Common Curriculum Framework Summary

Component	Requirement	Remarks
Institute Core (IC)	17 courses	Semesters I through V; common B.Tech. foundation, excluding internships and other non-course components.
Program Core (PC)	12 courses	Semesters I through VI; program-specific core depth.
Program Electives (PE)	8 courses	Semesters IV through VII; elective courses in areas of primary interest of the program.
Free Electives (FE)	2 courses	Semesters VI and VII; at least one Free Elective should be from HSSE.
Certificate Courses	2 courses	Online certificate courses; Pass/Fail basis.
Internships and BTP/ITP	Rural Internship, Summer Internship, BTP/ITP	Experiential components including final B.Tech. Project / Internship.
Minor Honors	4 courses	Three core courses from Semester III through V and the one elective in either of VI or VII semester.

ICT (Hons) with minor in Computational Science Program Core Progression

The ICT-CS Program Core is designed to move from foundations to advanced AI and systems topics. The proposed ICT-CS Program Core sequence is as follows.

Course Code	CCF Slot	ICT-CS Course Title	Semester
PC-101	Program Core 1	Discrete Mathematics	Semester I
PC-102	Program Core 2	Engineering Physics I	Semester II
PC-203	Program Core 3	Design and Analysis of Algorithms	Semester III
PC-204	Program Core 4	Engineering Physics II	Semester III
PC-205	Program Core 5	Signal and Systems	Semester III
PC-206	Program Core 6	Database Management Systems	Semester IV
PC-207	Program Core 7	Computer Systems Programming	Semester IV
PC-208	Program Core 8	Introduction to Communication Systems	Semester IV
PC-309	Program Core 9	Software Engineering	Semester V
PC-310	Program Core 10	Digital Communications	Semester V
PC-311	Program Core 11	Embedded Hardware Design	Semester V
PC-312	Program Core 12	Computer Networks	Semester VI
MPC-201	ICT-CS Minor Core-1	Computational and Data-Driven Methods	Semester III
MPC-202	ICT-CS Minor Core-2	Modelling and Simulation	Semester IV
MPC-301	ICT-CS Minor Core-3	High Performance Parallel Computing	Semester V

Semester-wise Academic Structure

Semester	Courses / Components	Credit Note
I	HSS I (Language and Literature); Introduction to Programming; Programming Lab; Basic Electronic Circuits; Maths I (Calculus); Mathematical, Discrete Mathematics; Co-curricular - 1	19-20 course credits
II	HSS II (Approaches to Indian Society); Data Structures; Digital Logic / Computer Organization; Maths II (Linear Algebra); Language in Practice; Engineering Physics I; Design Thinking for Engineers; Co-curricular - 2	21 course credits
III	HSS III (Science, Technology and Society); Object-Oriented Programming; Maths III (Probability and Statistics); Design and Analysis of Algorithms; Engineering Physics II; Signal and Systems; Co-curricular - 3; Exploration Project Minor core: Computational and Data-Driven Methods	25 course credits
IV	Environmental Studies; Introduction to Machine Learning; Database Management Systems; Computer Systems Programing; Introduction to Communication Systems; Program Elective - 1; Co-curricular – 4 Minor core: Modelling and Simulation	27-28 course credits
V	Principles of Economics; Software Engineering; Digital communications; Embedder Hardware Design ; Program Elective – 2 Minor core: High Performance Parallel Computing	18-19 course credits
VI	Computer Networks; Program Elective - 3; Program Elective - 4 / Project - 1; HSSE / Free Elective; Program Elective – 5 Minor Elective	18-20 course credits, depending on elective/project choices and load flexibility
VII	Program Elective - 5/9; Program Elective - 6 / Project - 2; Program Elective - 7 / Project - 3; Program Elective - 8; HSSE / Free Elective	17-20 course credits, depending on elective/project choices and load flexibility
VIII	B.Tech. Project / Internship Training Project (BTP/ITP)	Final project / internship component

ICTE: ICT Elective; TE: Technical Elective; HASSE: Humanities and Social Science Elective; OE: Open Elective; BTP: BTech Project

Electives:

Minor Elective:

Considering the current trend and market demand the student will be able to build depth in deferent area of computational science through the elective:

• Physical Sciences: Computational Physics, Quantum Mechanics, Statistical Physics.
• Advanced AI: AI/ML for Science (SciML), Neuro- symbolic AI.
• Complex Systems: Nonlinear Dynamics, Complex Networks.
• Applied Domains: Computational Finance, Soft Computing, Data Analysis and Visualization, Stochastic Processes and Simulation

Admission Process

Details on the application process, admission criteria, fee structure and financial assistance can be found here