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Fees
₹3,50,000
Placement
93.0%
Avg Package
₹6,50,000
Highest Package
₹15,00,000
Fees
₹3,50,000
Placement
93.0%
Avg Package
₹6,50,000
Highest Package
₹15,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The curriculum for the B.Tech Education program at Indira Gandhi Technological And Medical Science University Lower Subansiri is meticulously structured across eight semesters, ensuring a progressive build-up of knowledge and skills. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to foster both theoretical understanding and practical application.
| SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PREREQUISITES |
|---|---|---|---|---|
| 1 | ENG101 | English for Academic Purposes | 3-0-0-3 | - |
| 1 | MAT101 | Calculus I | 4-0-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | CS101 | Introduction to Programming | 3-0-0-3 | - |
| 1 | EDU101 | Introduction to Education | 2-0-0-2 | - |
| 1 | EDU102 | Psychology of Learning | 2-0-0-2 | - |
| 1 | LAB101 | Programming Lab | 0-0-3-1 | - |
| 2 | MAT201 | Calculus II | 4-0-0-4 | MAT101 |
| 2 | PHY201 | Electricity and Magnetism | 3-0-0-3 | PHY101 |
| 2 | CHE201 | Organic Chemistry | 3-0-0-3 | CHE101 |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 2 | EDU201 | Educational Psychology | 2-0-0-2 | EDU102 |
| 2 | EDU202 | Teaching Methods and Practices | 2-0-0-2 | EDU101 |
| 2 | LAB201 | Data Structures Lab | 0-0-3-1 | CS201 |
| 3 | MAT301 | Linear Algebra | 4-0-0-4 | MAT201 |
| 3 | PHY301 | Optics and Waves | 3-0-0-3 | PHY201 |
| 3 | CHE301 | Physical Chemistry | 3-0-0-3 | CHE201 |
| 3 | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
| 3 | EDU301 | Curriculum Design and Evaluation | 2-0-0-2 | EDU202 |
| 3 | EDU302 | Learning Theories and Models | 2-0-0-2 | EDU201 |
| 3 | LAB301 | Database Lab | 0-0-3-1 | CS301 |
| 4 | MAT401 | Differential Equations | 4-0-0-4 | MAT301 |
| 4 | PHY401 | Nuclear Physics | 3-0-0-3 | PHY301 |
| 4 | CHE401 | Biochemistry | 3-0-0-3 | CHE301 |
| 4 | CS401 | Web Technologies | 3-0-0-3 | CS301 |
| 4 | EDU401 | Technology Integration in Education | 2-0-0-2 | EDU302 |
| 4 | EDU402 | Educational Research Methods | 2-0-0-2 | EDU301 |
| 4 | LAB401 | Web Technologies Lab | 0-0-3-1 | CS401 |
| 5 | MAT501 | Probability and Statistics | 4-0-0-4 | MAT401 |
| 5 | PHY501 | Quantum Mechanics | 3-0-0-3 | PHY401 |
| 5 | CHE501 | Chemical Kinetics | 3-0-0-3 | CHE401 |
| 5 | CS501 | Software Engineering | 3-0-0-3 | CS401 |
| 5 | EDU501 | Assessment and Evaluation Techniques | 2-0-0-2 | EDU402 |
| 5 | EDU502 | Educational Technology Tools | 2-0-0-2 | EDU401 |
| 5 | LAB501 | Software Engineering Lab | 0-0-3-1 | CS501 |
| 6 | MAT601 | Numerical Methods | 4-0-0-4 | MAT501 |
| 6 | PHY601 | Thermodynamics | 3-0-0-3 | PHY501 |
| 6 | CHE601 | Environmental Chemistry | 3-0-0-3 | CHE501 |
| 6 | CS601 | Artificial Intelligence | 3-0-0-3 | CS501 |
| 6 | EDU601 | Digital Learning Platforms | 2-0-0-2 | EDU502 |
| 6 | EDU602 | Leadership in Education | 2-0-0-2 | EDU501 |
| 6 | LAB601 | AI Lab | 0-0-3-1 | CS601 |
| 7 | MAT701 | Advanced Mathematics | 4-0-0-4 | MAT601 |
| 7 | PHY701 | Relativity and Cosmology | 3-0-0-3 | PHY601 |
| 7 | CHE701 | Industrial Chemistry | 3-0-0-3 | CHE601 |
| 7 | CS701 | Machine Learning | 3-0-0-3 | CS601 |
| 7 | EDU701 | Educational Data Analytics | 2-0-0-2 | EDU602 |
| 7 | EDU702 | Inclusive Education Practices | 2-0-0-2 | EDU601 |
| 7 | LAB701 | Machine Learning Lab | 0-0-3-1 | CS701 |
| 8 | MAT801 | Advanced Statistics | 4-0-0-4 | MAT701 |
| 8 | PHY801 | Quantum Computing | 3-0-0-3 | PHY701 |
| 8 | CHE801 | Nanotechnology | 3-0-0-3 | CHE701 |
| 8 | CS801 | Big Data Analytics | 3-0-0-3 | CS701 |
| 8 | EDU801 | Capstone Project | 2-0-0-2 | EDU702 |
| 8 | EDU802 | Research Thesis | 2-0-0-2 | EDU701 |
| 8 | LAB801 | Big Data Lab | 0-0-3-1 | CS801 |
Departmental electives offer students the opportunity to specialize in specific areas of interest within the field of education. These courses are designed to deepen understanding and encourage critical thinking through advanced topics.
This course introduces students to the principles and techniques of data analytics in educational contexts. Students learn how to collect, process, and analyze large datasets to derive meaningful insights about learning behaviors, teaching effectiveness, and institutional performance.
Learning Objectives:
This course explores the integration of modern technology into teaching and learning environments. Students examine tools such as virtual reality, augmented reality, artificial intelligence, and mobile apps to create engaging and effective educational experiences.
Learning Objectives:
This course equips students with the skills needed to design, implement, and evaluate curricula that align with national and global standards. It covers curriculum development models, assessment strategies, and stakeholder engagement techniques.
Learning Objectives:
This course delves into the psychological aspects of learning and teaching. It covers cognitive development theories, motivation, classroom management, and special education needs.
Learning Objectives:
This course focuses on building and managing digital learning platforms that support scalable, personalized, and interactive learning experiences. Students learn about platform architecture, user experience design, content management systems, and cloud computing for education.
Learning Objectives:
This course prepares students for leadership roles in educational institutions. It covers leadership theories, administrative practices, strategic planning, and resource management within educational settings.
Learning Objectives:
This course prepares students to support learners with special needs through inclusive practices, assistive technologies, and individualized education plans. It includes hands-on training in working with children with autism, dyslexia, ADHD, and other learning differences.
Learning Objectives:
This course explores the unique needs of young learners and develops competencies in early childhood development, play-based learning, and child-centered pedagogy. It includes internships in pre-primary schools and childcare centers.
Learning Objectives:
This course focuses on teaching methodologies for literacy development, multilingual education, and language acquisition theories. It includes practical components such as classroom observation, lesson planning, and community outreach programs.
Learning Objectives:
This course examines the role of policy in shaping educational systems. Students analyze historical and contemporary policies, evaluate their impact on access, equity, and quality, and propose solutions for systemic improvement.
Learning Objectives:
The department strongly believes in project-based learning as a means to foster critical thinking, collaboration, and real-world problem-solving skills. This approach encourages students to apply their knowledge in meaningful contexts and develop solutions to authentic challenges.
Throughout the first three years, students engage in mini-projects that allow them to explore specific areas of interest while building foundational skills:
The final-year capstone project is a comprehensive endeavor that integrates all aspects of the program. Students work in teams to tackle a significant educational challenge using advanced technologies and methodologies:
Each student is assigned a faculty mentor based on their interests and career aspirations. Mentors provide guidance throughout the project lifecycle: