Second Master (2 Years)
MSc. In Data Analysis For Business IntelligenceCore Modules:
- Mathematical Modelling (Lab Base)
- Statistics for Data Science
- Fundamentals of Data Science
- Data Mining and Neural Networks (Lab Base)
- Financial Services Information Systems
- Analysis and Design of Algorithms
- Data Analysis for Business Intelligence Project
Option Modules:
- Choose one option module from:
- Advanced C++ Programming
- Practical Programming (Lab Base)
- One option module from:
- Computational Partial Differential Equations with Applications
- Generalised Linear Models
- Data Analytics for eSports
- Medical Statistics
First Master (2 Years)
International MBA- Strategic Human Resources Management
- Global Marketing Management
- Managing Financial Performance
- International Operations and Project Management
- Strategic Leadership and Organisational Transformation
- Enterprise, Innovation, and Creativity
- Contemporary Strategic Management in Global Contexts
- Research Methods and Dissertation or Research Methods and Internship Management Project
Bachelor of Science (4 Years)
Bachelor of Science in Textile Engineering- First Year B.Sc. in Textile Engineering Examination-2008
- Mathematics-I
- Mathematics-II
- Physics-I (Lab Base)
- Physics-II (Lab Base)
- Chemistry-I (Organic and Inorganic chemistry) (Lab Base)
- Chemistry-II (Analytical and Physical chemistry) (Lab Base)
- Textile Raw Material-I
- Polymer Science (Lab Base)
- Engineering Material & Practices (Lab Base)
- Engineering Drawing
- Engineering Language
- Business Engineering
- 2nd Year B.Sc. in Textile Engineering Examination-2009
- Yarn Manufacturing-II (Short Staple)
- Fabric Manufacturing-II (Weaving Preparation)
- Wet Processing Technology-I (Pretreatment) ,(Applied Chemical Engineering) (Lab Base)
- Garment Production-I (Preparatory)
- Fabric Structure & Design
- Textile Raw Materials-II
- Textile Physics-I (Lab Base)
- Textile Testing & Quality Control-I (Lab Base)
- Statistics
- Elements of Electrical & Electronic Engineering (Lab Base)
- Elements of Mechanical Engineering
- Computer Science (Lab Base)
- 3rd Year B.Sc. in Textile Engineering Examination-2010
- Yarn Manufacturing II (Short Staple) (Lab Base)
- Yarn Manufacturing III (Long Staple) (Lab Base)
- Fabric Manufacturing III (Weaving)
- Fabric Manufacturing III (Knitting & Non-Woven)
- Wet Processing II (Dyeing)(Applied Chemical Engineering) (Lab Base)
- Wet Processing III (Applied Chemical Engineering)(Lab Base)
- Garment Manufacturing II (Assembling & Finishing)
- Garment Manufacturing III (Fashion Design)
- Textile Physics-II
- Textile Testing & Quality Control-II
- Industrial Management
- 4th Year B.Sc. in Textile Engineering Examination-2011
- Advanced Yarn/Fabric/Wet Processing/Garments Manufacturing-IV (Lab Base)
- Physiological Aspects of Clothing Special Yarn/Fabric/Wet Processing/Garment Manufacturing/Fashion Marketing
- Utility Services & Maintenance of Textile Machinery
- Application of Computer in Textile
- Production Planning and Control
- Testing & Quality Control-III (Lab Base)
- Accounting
- Marketing
- Major: Wet Processing Technology
- Presently Textile Engineering College is affiliated with Bangladesh University of Textiles (BUTex)
A-Level
Biology (Lab-based): A+
Physics (Lab Base)
Chemistry (Lab Base)
Mathematics ( Including practical in Lab)
Professional Courses-1
- AI in Healthcare: Applications and Concepts - Harvard University (On campus)
Professional Courses-2
- AI and Digital Transformation in Healthcare, Critical Thinking – University of Cambridge (On campus - summer program)
Professional Courses-3
- ML (Including Deep Learning, Representation Learning, and Generative AI) in Health and Bio, Application of ML in Medicine and Biomedical Sciences, State-of-the-art in Areas – Oxford Mathematical Institute, University of Oxford (On campus - summer program)
Professional Courses-4
- Medical Computational Imaging, Nuclear Cardiolgy, Structural Heart Disease, Cardiac CT – British Heart Foundation, British Society Cardiovascular Research 2025 (In person)
Professional Courses-5
Athens NLP 2025 Summer School, organised jointly by RC “Athena” (through Archimedes and ILSP), NCSR “Demokritos”, Athens University of Economics and Business (Department of Informatics), and Heriot-Watt University. (In person)
- Encoder–Decoder Models
- Language-Specific, Safe, Factual, VLM and Specialized Large Language Models
- Structure Prediction
- Trustworthy Planning Agents for Collaborative Reasoning and Multimodal Generation
- Multilinguality & Speech Translation
- Machine Translation and Multilinguality
- Equipping LLMs for Interaction
- Multimodal NLP
- Human Label Variation in NLP
Professional Courses-6
M2L 2025 Summer School, organised by Google DeepMind, Google Gemini (In person)
- Computer Vision
- Generative and Diffusion Models
- Ethics in Machine Learning
- Core AI Foundations (DL, RL, GNNs, diffusion)
- Reasoning LLMs, VLM, Multimodality, and World Models
- Safety and Ethics Considerations
- Real-World Applications (robotics, bio-LLMs, startups, evaluation)
Professional Courses-7
BCS/BCOS/UCLH Cancer Academy Cardio-Oncology Course 2025 (In person)
- Approved by The Federation of the Royal Colleges of Physicians (UK)
- 5 Category 1 External CPD Credits
- Focused training on cardiovascular considerations in cancer care
- Delivered by senior clinicians and BCS leadership
- Advanced modules in cardio-oncology diagnostics and management
Professional Courses-8
Machine Learning Summer School (MLSS 2026), Columbia University, New York, USA (In-person)
Joint summer school program organised by Columbia University, Cornell University, New York University, Center for Data Science, Stony Brook University, and Bloomberg.
Topics Covered
- Reinforcement Learning
- Natural Language Processing (NLP)
- Causal Artificial Intelligence
- Causal Discovery and Learning
- Causal Machine Learning Foundations
- Causal Machine Learning for Policy and Science
- Causal Meta-Learning
- Agentic AI Foundations
- Agentic AI
- Agentic AI Evaluation
- Agentic AI for Scientific Discovery
- Agentic AI for Automated Research
- AI for Healthcare
- AI in Quantitative Finance
- AI for Science
- Foundation and Frontier Models
- Large Language Models (LLMs)
- Time Series Analysis
- Time Series Modelling
- Probabilistic Modelling
- Generalization in Machine Learning
- Neurosymbolic AI
- Diffusion Models
- Mechanistic Interpretability
- Systems and Efficiency for AI
- Temporal Stability in AI Systems
- AI Safety and Governance
- AI Safety for Autonomous Agents
- Technology Ethics in the Age of AI
- Pitfalls of AI Scientists
Participated in the Machine Learning Summer School (MLSS 2026) hosted at Columbia University, receiving advanced training from leading researchers in modern artificial intelligence, including causal AI, agentic AI, foundation models, AI for healthcare, mechanistic interpretability, AI safety, reinforcement learning, and scientific machine learning.
Organising Institutions
