Course Structure Overview
The B.Tech Education program at Dbs Global University Dehradun is structured over eight semesters, ensuring a comprehensive academic journey that balances theoretical foundations with practical application. Each semester carries a specific focus to build upon previous knowledge and prepare students for advanced specialization.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | MATH101 | Calculus and Differential Equations | 3-0-0-3 | - |
| I | PHYS101 | Physics for Engineers | 3-0-0-3 | - |
| I | CHEM101 | Chemistry for Engineering | 3-0-0-3 | - |
| I | BIO101 | Introduction to Biology | 3-0-0-3 | - |
| I | CS101 | Computer Science Fundamentals | 3-0-0-3 | - |
| I | ENG101 | English for Communication | 3-0-0-3 | - |
| I | EDU101 | Introduction to Education | 2-0-0-2 | - |
| I | LAB101 | Lab Practical: Physics | 0-0-3-1 | - |
| I | LAB102 | Lab Practical: Chemistry | 0-0-3-1 | - |
| I | LAB103 | Lab Practical: Computer Science | 0-0-3-1 | - |
| II | MATH201 | Linear Algebra and Statistics | 3-0-0-3 | MATH101 |
| II | PHYS201 | Electromagnetism and Waves | 3-0-0-3 | PHYS101 |
| II | CHEM201 | Organic Chemistry | 3-0-0-3 | CHEM101 |
| II | BIO201 | Cell Biology and Genetics | 3-0-0-3 | BIO101 |
| II | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| II | EDU201 | Philosophy of Education | 2-0-0-2 | EDU101 |
| II | LAB201 | Lab Practical: Biology | 0-0-3-1 | BIO101 |
| III | MATH301 | Advanced Mathematics for Education | 3-0-0-3 | MATH201 |
| III | PHYS301 | Quantum Mechanics | 3-0-0-3 | PHYS201 |
| III | CHEM301 | Physical Chemistry | 3-0-0-3 | CHEM201 |
| III | BIO301 | Ecology and Environmental Science | 3-0-0-3 | BIO201 |
| III | CS301 | Database Systems | 3-0-0-3 | CS201 |
| III | EDU301 | Cognitive Psychology in Education | 2-0-0-2 | EDU201 |
| III | LAB301 | Lab Practical: Chemistry and Physics | 0-0-3-1 | CHEM201, PHYS201 |
| IV | MATH401 | Mathematical Modeling in Education | 3-0-0-3 | MATH301 |
| IV | PHYS401 | Nuclear Physics | 3-0-0-3 | PHYS301 |
| IV | CHEM401 | Chemical Engineering Principles | 3-0-0-3 | CHEM301 |
| IV | BIO401 | Biotechnology and Bioinformatics | 3-0-0-3 | BIO301 |
| IV | CS401 | Machine Learning Fundamentals | 3-0-0-3 | CS301 |
| IV | EDU401 | Educational Research Methods | 2-0-0-2 | EDU301 |
| IV | LAB401 | Lab Practical: Biology and Biotech | 0-0-3-1 | BIO301 |
| V | MATH501 | Advanced Statistical Analysis | 3-0-0-3 | MATH401 |
| V | PHYS501 | Optics and Lasers | 3-0-0-3 | PHYS401 |
| V | CHEM501 | Materials Science | 3-0-0-3 | CHEM401 |
| V | BIO501 | Molecular Biology and Genetics | 3-0-0-3 | BIO401 |
| V | CS501 | Software Engineering Principles | 3-0-0-3 | CS401 |
| V | EDU501 | Learning Theories and Models | 2-0-0-2 | EDU401 |
| V | LAB501 | Lab Practical: Materials and Physics | 0-0-3-1 | CHEM401, PHYS401 |
| VI | MATH601 | Mathematical Optimization Techniques | 3-0-0-3 | MATH501 |
| VI | PHYS601 | Relativity and Cosmology | 3-0-0-3 | PHYS501 |
| VI | CHEM601 | Pharmaceutical Chemistry | 3-0-0-3 | CHEM501 |
| VI | BIO601 | Biophysics and Computational Biology | 3-0-0-3 | BIO501 |
| VI | CS601 | Artificial Intelligence Applications | 3-0-0-3 | CS501 |
| VI | EDU601 | Instructional Design and Evaluation | 2-0-0-2 | EDU501 |
| VI | LAB601 | Lab Practical: Advanced Biology and Chemistry | 0-0-3-1 | BIO501, CHEM501 |
| VII | MATH701 | Advanced Mathematical Modeling | 3-0-0-3 | MATH601 |
| VII | PHYS701 | Nuclear Engineering | 3-0-0-3 | PHYS601 |
| VII | CHEM701 | Environmental Chemistry | 3-0-0-3 | CHEM601 |
| VII | BIO701 | Biochemistry and Metabolism | 3-0-0-3 | BIO601 |
| VII | CS701 | Cloud Computing and Big Data | 3-0-0-3 | CS601 |
| VII | EDU701 | Educational Policy Analysis | 2-0-0-2 | EDU601 |
| VII | LAB701 | Lab Practical: Advanced Physics and Biology | 0-0-3-1 | PHYS601, BIO601 |
| VIII | MATH801 | Mathematical Research Project | 3-0-0-3 | MATH701 |
| VIII | PHYS801 | Advanced Physics Research | 3-0-0-3 | PHYS701 |
| VIII | CHEM801 | Research in Chemical Sciences | 3-0-0-3 | CHEM701 |
| VIII | BIO801 | Research in Biological Sciences | 3-0-0-3 | BIO701 |
| VIII | CS801 | Capstone Project in AI and Education | 3-0-0-3 | CS701 |
| VIII | EDU801 | Final Capstone Thesis in Education | 2-0-0-2 | EDU701 |
| VIII | LAB801 | Final Research Lab Practical | 0-0-3-1 | All previous labs |
Advanced Departmental Electives
Departmental electives offer students the opportunity to explore specialized areas within education that align with their interests and career aspirations.
EDU502 – Educational Technology Integration: This course explores how emerging technologies can be effectively integrated into educational settings to enhance teaching and learning experiences. Students will study tools like virtual reality, augmented reality, mobile apps, and AI-powered platforms that support personalized learning.
EDU503 – Assessment and Evaluation in Modern Education: Focused on developing assessment strategies that are aligned with contemporary educational theories and standards, this course covers formative and summative assessments, portfolio-based evaluations, rubrics design, and data-driven decision-making processes.
EDU504 – Learning Analytics and Data Science: Designed to equip students with skills in analyzing educational data using statistical methods and machine learning algorithms, this course teaches how to interpret student performance trends, identify at-risk learners, and optimize curriculum delivery based on insights from large datasets.
EDU505 – Curriculum Design for Diverse Learners: This elective focuses on creating inclusive curricula that accommodate different learning styles, cultural backgrounds, and individual needs. Students will learn to design lessons that are accessible to all learners, including those with disabilities or language barriers.
EDU506 – Teacher Professional Development: This course provides insights into designing effective professional development programs for educators. Topics include leadership in education, mentoring models, coaching techniques, and continuous improvement frameworks used in modern schools and institutions.
EDU507 – Educational Leadership and Administration: Aimed at preparing students for administrative roles in educational organizations, this course explores school management, policy formulation, strategic planning, resource allocation, and stakeholder engagement strategies.
EDU508 – Global Education Policy and Reform: Students will examine education policies from around the world, comparing approaches to equity, quality, access, and innovation. The course includes case studies of successful reform initiatives in different countries and explores how global trends influence local practices.
EDU509 – Early Childhood Development and Learning: This elective focuses on understanding child development from birth through early school years, emphasizing play-based learning, parental involvement, and age-appropriate curriculum design for young learners.
EDU510 – Inclusive Education Practices: Designed to support students in developing inclusive practices within diverse classrooms, this course covers topics such as disability rights, cultural sensitivity, universal design for learning (UDL), and strategies for supporting students with special needs.
EDU511 – Innovation in Higher Education: This course looks at how higher education institutions are adapting to technological advancements, changing student demographics, and evolving societal expectations. Students explore innovative practices like online learning platforms, competency-based education, and alternative credentialing systems.
Project-Based Learning Philosophy
The Department of Education at Dbs Global University Dehradun places a strong emphasis on project-based learning as a core pedagogical approach. Projects are designed to be meaningful, challenging, and collaborative, allowing students to apply theoretical knowledge in real-world contexts.
Mini-projects are introduced early in the program and become increasingly sophisticated over time. These projects allow students to work in teams under faculty supervision, developing skills in project planning, execution, presentation, and peer review.
The final-year capstone project is a significant component of the program. Students select a topic relevant to their area of specialization or interest, conduct independent research, and present findings to an advisory committee of faculty members. The project must demonstrate originality, critical thinking, and practical application.
Students are encouraged to propose projects that address real-world challenges in education, such as improving literacy rates, designing accessible learning tools, or evaluating educational policy impacts. Faculty mentors guide students throughout the process, ensuring that projects meet academic rigor while remaining relevant to industry needs.