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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Education

    Indira Gandhi Technological And Medical Science University Lower Subansiri
    Duration
    4 Years
    Education UG OFFLINE

    Duration

    4 Years

    Education

    Indira Gandhi Technological And Medical Science University Lower Subansiri
    Duration
    Apply

    Fees

    ₹3,50,000

    Placement

    93.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹15,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Education
    UG
    OFFLINE

    Fees

    ₹3,50,000

    Placement

    93.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹15,00,000

    Seats

    120

    Students

    1,200

    ApplyCollege

    Seats

    120

    Students

    1,200

    Curriculum

    Course Structure Overview

    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-wise Course Listing

    SEMESTERCOURSE CODECOURSE TITLECREDIT STRUCTURE (L-T-P-C)PREREQUISITES
    1ENG101English for Academic Purposes3-0-0-3-
    1MAT101Calculus I4-0-0-4-
    1PHY101Physics for Engineers3-0-0-3-
    1CHE101Chemistry for Engineers3-0-0-3-
    1CS101Introduction to Programming3-0-0-3-
    1EDU101Introduction to Education2-0-0-2-
    1EDU102Psychology of Learning2-0-0-2-
    1LAB101Programming Lab0-0-3-1-
    2MAT201Calculus II4-0-0-4MAT101
    2PHY201Electricity and Magnetism3-0-0-3PHY101
    2CHE201Organic Chemistry3-0-0-3CHE101
    2CS201Data Structures and Algorithms3-0-0-3CS101
    2EDU201Educational Psychology2-0-0-2EDU102
    2EDU202Teaching Methods and Practices2-0-0-2EDU101
    2LAB201Data Structures Lab0-0-3-1CS201
    3MAT301Linear Algebra4-0-0-4MAT201
    3PHY301Optics and Waves3-0-0-3PHY201
    3CHE301Physical Chemistry3-0-0-3CHE201
    3CS301Database Management Systems3-0-0-3CS201
    3EDU301Curriculum Design and Evaluation2-0-0-2EDU202
    3EDU302Learning Theories and Models2-0-0-2EDU201
    3LAB301Database Lab0-0-3-1CS301
    4MAT401Differential Equations4-0-0-4MAT301
    4PHY401Nuclear Physics3-0-0-3PHY301
    4CHE401Biochemistry3-0-0-3CHE301
    4CS401Web Technologies3-0-0-3CS301
    4EDU401Technology Integration in Education2-0-0-2EDU302
    4EDU402Educational Research Methods2-0-0-2EDU301
    4LAB401Web Technologies Lab0-0-3-1CS401
    5MAT501Probability and Statistics4-0-0-4MAT401
    5PHY501Quantum Mechanics3-0-0-3PHY401
    5CHE501Chemical Kinetics3-0-0-3CHE401
    5CS501Software Engineering3-0-0-3CS401
    5EDU501Assessment and Evaluation Techniques2-0-0-2EDU402
    5EDU502Educational Technology Tools2-0-0-2EDU401
    5LAB501Software Engineering Lab0-0-3-1CS501
    6MAT601Numerical Methods4-0-0-4MAT501
    6PHY601Thermodynamics3-0-0-3PHY501
    6CHE601Environmental Chemistry3-0-0-3CHE501
    6CS601Artificial Intelligence3-0-0-3CS501
    6EDU601Digital Learning Platforms2-0-0-2EDU502
    6EDU602Leadership in Education2-0-0-2EDU501
    6LAB601AI Lab0-0-3-1CS601
    7MAT701Advanced Mathematics4-0-0-4MAT601
    7PHY701Relativity and Cosmology3-0-0-3PHY601
    7CHE701Industrial Chemistry3-0-0-3CHE601
    7CS701Machine Learning3-0-0-3CS601
    7EDU701Educational Data Analytics2-0-0-2EDU602
    7EDU702Inclusive Education Practices2-0-0-2EDU601
    7LAB701Machine Learning Lab0-0-3-1CS701
    8MAT801Advanced Statistics4-0-0-4MAT701
    8PHY801Quantum Computing3-0-0-3PHY701
    8CHE801Nanotechnology3-0-0-3CHE701
    8CS801Big Data Analytics3-0-0-3CS701
    8EDU801Capstone Project2-0-0-2EDU702
    8EDU802Research Thesis2-0-0-2EDU701
    8LAB801Big Data Lab0-0-3-1CS801

    Advanced Departmental Elective Courses

    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.

    Course 1: Educational Data Analytics

    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:

    • Understand the role of data in improving educational outcomes
    • Apply statistical methods and machine learning algorithms to real-world educational problems
    • Design dashboards and visualizations for monitoring progress
    • Evaluate existing data systems and propose improvements

    Course 2: Instructional Technology

    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:

    • Demonstrate proficiency in using digital tools for instructional design
    • Design immersive learning environments using emerging technologies
    • Evaluate the impact of technology on student engagement and performance
    • Create prototypes of innovative educational applications

    Course 3: Curriculum Design and Evaluation

    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:

    • Develop a comprehensive understanding of curriculum frameworks
    • Apply principles of curriculum design to real-world scenarios
    • Conduct program evaluations using qualitative and quantitative methods
    • Collaborate with diverse stakeholders in curriculum development processes

    Course 4: Educational Psychology

    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:

    • Understand key theories of cognitive and emotional development
    • Apply psychological principles to instructional design
    • Analyze behavioral patterns in educational settings
    • Evaluate interventions aimed at enhancing student learning outcomes

    Course 5: Digital Learning Platforms

    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:

    • Design and develop digital learning environments
    • Implement content management systems tailored to educational needs
    • Ensure accessibility and usability across diverse learners
    • Integrate multimedia and interactive elements into online courses

    Course 6: Educational Leadership

    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:

    • Understand different leadership styles and their applications in education
    • Develop skills in organizational management and change leadership
    • Plan and execute strategic initiatives to improve institutional performance
    • Manage resources effectively while maintaining ethical standards

    Course 7: Special Education & Inclusive Learning

    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:

    • Recognize and address diverse learning needs within educational environments
    • Design inclusive curricula that accommodate various learning styles
    • Utilize assistive technologies to enhance accessibility
    • Evaluate the effectiveness of inclusive practices in promoting equity

    Course 8: Early Childhood Education

    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:

    • Understand developmental milestones and learning theories for young children
    • Create engaging and safe learning environments for early learners
    • Implement play-based and experiential learning approaches
    • Evaluate and adapt curricula to meet the needs of diverse early childhood populations

    Course 9: Language & Literacy Education

    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:

    • Apply language acquisition theories to curriculum design
    • Develop effective strategies for promoting literacy among diverse learners
    • Design multilingual educational materials and activities
    • Support emergent bilinguals through culturally responsive practices

    Course 10: Educational Policy & Reform

    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:

    • Identify key factors influencing educational policy formulation
    • Analyze the relationship between policy and practice in education
    • Evaluate the effectiveness of current policies using empirical evidence
    • Advocate for reforms that promote equitable access to quality education

    Project-Based Learning Philosophy

    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.

    Mini-Projects (Years 1–3)

    Throughout the first three years, students engage in mini-projects that allow them to explore specific areas of interest while building foundational skills:

    • First Year: Introduction to educational tools and platforms using simple design challenges.
    • Second Year: Development of interactive learning modules or multimedia presentations for specific age groups.
    • Third Year: Collaborative projects involving data analysis, curriculum mapping, or policy brief development.

    Final-Year Capstone Project

    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:

    • Problem Identification: Students identify real-world problems in education through stakeholder engagement and research.
    • Design Phase: Teams develop conceptual frameworks, prototypes, or models addressing the identified problem.
    • Implementation: Projects are implemented in real or simulated educational settings with feedback loops.
    • Presentation & Evaluation: Final presentations are made to faculty members, industry experts, and community stakeholders.

    Mentorship Process

    Each student is assigned a faculty mentor based on their interests and career aspirations. Mentors provide guidance throughout the project lifecycle:

    • Initial Consultation: Discussing project ideas, feasibility, and alignment with program objectives.
    • Ongoing Support: Regular meetings to review progress, address challenges, and refine strategies.
    • Feedback & Revision: Constructive feedback on drafts, prototypes, and presentations to ensure quality outcomes.