B.Sc. Forestry (Honours)
Forests cover nearly 24% of India’s geographic area, serving as the backbone of ecological security, biodiversity conservation, water systems, and tribal livelihoods.
The B.Sc. Forestry (Honours) programme at the Doon School of Modern Agriculture & Forestry is designed to prepare the next generation of forest scientists, conservationists, and sustainable resource managers. Situated in Dehradun, home to the Forest Research Institute (FRI) — one of Asia’s most prestigious forestry institutions — the programme benefits from an unparalleled location for forestry education. The curriculum integrates classical silviculture and ecology with advanced tools such as AI-based species identification (TreeAI), satellite forest monitoring (Google Earth Engine), wildlife tracking (WildTrack AI), and drone-based canopy analysis (FlyPix AI). With ICAR-aligned coursework, dedicated forest nurseries and biodiversity parks, collaborations with FRI, ZSI, and the Wadia Institute, and a four-year honours pathway culminating in the Forest Occupational Work Experience (FOWE), graduates emerge both academically accomplished and field-ready, equipped to address the complex challenges of sustainable forest management.
Advantage @DGU
350+
Campus Recruiters Every Year
23
States Represented on Campus
20+
Countries for Global Exposure
5
Countries — International Students
Career Opportunities
Government Sector Careers
Private Sector Roles
Higher Education & Research
Entrepreneurship & Allied Fields
Emerging & High-Paying Roles
Course Structure
Programme Duration - 4 Years (8 Semesters) | Total Credits: 166 | As per NEP 2020 & OBE Framework
| Semester I | Semester II | ||||||
|---|---|---|---|---|---|---|---|
| S.No. | Subject | Type | Credits | S.No. | Subject | Type | Credits |
| 1 | Agroforestry Systems & Management | CC | 3 | 1 | Wood Anatomy Sciences and Technology | CC | 2 |
| 2 | Introduction to Forest Resources | CC | 3 | 2 | Tree Seed and Nursery Technology | CC | 3 |
| 3 | Forest Plant Biology | CC | 3 | 3 | Forest Measurements and Inventory | CC | 3 |
| 4 | Silviculture — Principles and Practices | CC | 3 | 4 | Entrep. Dev. and Business Management | SEC | 3 |
| 5 | Environmental Science &Sustainability | VAC | 2 | 5 | Indian Constitution | VAC | 2 |
| 6 | General English | AEC | 2 | 6 | Communication Skills | AEC | 3 |
| 7 | Advanced Spreadsheets | SEC | 2 | 7 | Group Proficiency-2 | GP | 1 |
| 8 | Group Proficiency-1 | GP | 1 | ||||
| TOTAL | 19 | TOTAL | 17 | ||||
| Semester III | Semester IV | ||||||
| S.No. | Subject | Type | Credits | S.No. | Subject | Type | Credits |
| 1 | Principles of Genetics | CC | 3 | 1 | Forest Ecology and Management | CC | 3 |
| 2 | Forest Soil and Nutrient Management | CC | 3 | 2 | Commercial Forest Products and Utilization | CC | 3 |
| 3 | Forest Survey and Engineering | CC | 3 | 3 | Tree Harvesting and Ergonomics | CC | 2 |
| 4 | Wildlife Sciences | CC | 3 | 4 | Forest Policy and Legislation | CC | 2 |
| 5 | Forest Health and Protection | CC | 2 | 5 | Silviculture of Indian Trees | CC | 2 |
| 6 | Indian Knowledge System | VAC | 2 | 6 | Design Thinking and Innovation | VAC | 2 |
| 7 | QT & Logical Reasoning | AEC | 2 | 7 | QT & Logical Reasoning II | AEC | 2 |
| 8 | Social Internship | SEC | 4 | 8 | Open Elective | OE | 2 |
| 9 | Group Proficiency-3 | GP | 1 | 9 | Group Proficiency-4 | GP | 1 |
| Total | 23 | Total | 20 | ||||
| Semester V | Semester VI | ||||||
| S.No. | Subject | Type | Credits | S.No. | Subject | Type | Credits |
| 1 | Fundamentals of Tree Physiology | CC | 3 | 1 | Forest Biotechnology | CC | 3 |
| 2 | Plantation Forestry | CC | 3 | 2 | Essentials of Biochemistry | CC | 3 |
| 3 | Tree Improvement | CC | 3 | 3 | Statistical Methods | SEC | 3 |
| 4 | Wildlife and Protected Area Management | CC | 3 | 4 | Forest Business Management | MDE | 2 |
| 5 | Agricultural Marketing and Trade | MDE | 2 | 5 | Remote Sensing and GIS Application | CC | 2 |
| 6 | Introduction to ESG Principles | VAC | 2 | 6 | Watershed Planning and Management | CC | 2 |
| 7 | Personality Development | AEC | 3 | 7 | Agricultural Informatics and AI | SEC | 2 |
| 8 | Internship/Capstone Project | SEC | 4 | 8 | Food Laws and Standards | VAC | 2 |
| 9 | Group Proficiency-5 | GP | 1 | ||||
| Total | 24 | Total | 19 | ||||
| Semester VII | Semester VIII | ||||||
| S.No. | Subject | Type | Credits | S.No. | Subject | Type | Credits |
| 1 | FOWE — Forest Occupational Work Experience | CC | 8 | 1 | Forest Biomass, Energy and Biofuels | CC | 3 |
| 2 | Forest Economics and Marketing | CC | 3 | 2 | Trees Outside Forests | CC | 2 |
| 3 | Forest Landscape Restoration | CC | 2 | 3 | Elective I | CC | 3 |
| 4 | Professional Ethics | VAC | 2 | 4 | Elective II | CC | 3 |
| 5 | Public Relations Internships | SEC | 6 | 5 | Introduction to ESG Principles (II) | VAC | 2 |
| 6 | Capstone / Project Completion | SEC | 3 | ||||
| Total | 21 | Total | 16 | ||||
Programme Credit Summary
| Category | Credits | No. of Subjects |
|---|---|---|
| Core Courses (CC) | 99 | 31 |
| Value Added Courses (VAC) | 16 | 8 |
| Ability Enhancement Courses (AEC) | 12 | 5 |
| Skill Enhancement Courses (SEC) | 24 | 7 |
| Open Electives (OE) | 4 | 2 |
| Multi-Disciplinary Electives (MDE) | 6 | 3 |
| General Proficiency (GP) | 5 | 5 |
| TOTAL CREDITS | 166 | 61 |
AI Integration — B.Sc. Forestry
The B.Sc. Forestry programme integrates 16+ AI tools across all 8 semesters, ensuring graduates are fluent in digital forestry. Key tools include:
| AI Tool | Key Feature | Primary Subjects |
|---|---|---|
| TreeAI | Rapid AI-based identification of Indian tree species for digital herbarium preparation | Forest Plant Biology, Silviculture of Indian Trees |
| BirdNET | Acoustic AI for bird call identification and biodiversity monitoring | Wildlife Sciences, FOWE |
| FlyPix AI | Object-detection AI for automated tree counting and canopy gap analysis | Silviculture, Forest Ecology, TOF |
| WildTrack AI | Non-invasive footprint/track recognition for species identification | Wildlife Sciences, FOWE |
| ArcGIS Pro AI | Advanced spatial modeling for LULC classification and watershed runoff simulation | Forest Survey, Watershed Mgmt |
| Google Earth Engine | Planetary-scale analysis for historical land-use and catchment modeling | Remote Sensing & GIS, ESG |
| CloudSeed AI | Deep learning for landscape-scale restoration, matching species to degraded soil profiles | Forest Landscape Restoration |
| WoodAI (Timbeter) | Computer vision for log counting and timber volume estimation | Wood Anatomy, Forest Measurements |
| SMART + AI | AI-assisted ranger patrol path modeling and poaching hotspot prediction | Wildlife & Protected Area Mgmt |
| DeepVariant | Genomic variant calling for forest tree improvement programs | Genetics, Tree Improvement, Biotech |
Level & Duration
Level
Undergraduate
Duration
4 Years
Placements
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