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Semi Supervised Research Training (Cohort 8)

Academic Literacy - Fundamentals of Scientific Research

Pre-registration is now open. The schedule is tentative but it will most likely be unchanged.

Schedule (Tentative)

Course Details

Semi-Supervised Research Training provides a 360-degree view of the research landscape. Our goal is to help develop your researcher-self rather than merely giving the training to analyze data. Our approach is drawn from decades of experience tackling untapped and neglected real-life problems.

 This training builds your confidence to formulate research question, develop the protocol, read and critique articles published in scientific journals independently. We aim to shape the thought process and guide the learners to develop their research mindset, which is essential to becoming a successful researcher.

Course Type
University grade 3-credit distant learning course

Course title
Academic Literacy – Fundamentals of Scientific Research

Course Duration
30 days  

Credit hours
3 credit (equivalent to university credits)  

Total time
34 hrs = 24 hrs lecture + 10 hrs supervision by mentors  

Total classes
12 theory classes + Hands on training

Course Evaluation Assignment

Course Curriculum

What you will Receive

Certificate of Achivement

Certificate of achievement given that one successfully submits a research proposal approved by the instructors


Students will receive up to 20% of waiver for any future RW training or consultancy service

Internship Opportunity

Based on the performance, two students will be given internship opportunities to conduct research with the BRF team

What you will Learn

After completing the course requirements, you would learn

  • the research process 
  • how to develop a research idea into a research question 
  • how to formulate a research question How to do a literature survey 
  • basics of research proposal writing 
  • ethics of field and lab research 
  • common statistical issues in research (study design, sampling and hypothesis testing) 
  • how research skills are useful for non-academic purposes 
  • lifetime skills for research and non-research purposes (referencing, documentation, time management, collaborative writing and smart note taking)

Who the course is for

This course is most suitable for those passionate about research and want to learn how to conduct a research from idea generation to publication--in step-by-step

Or someone aiming to become an independent researcher in biomedical, public health, or other fields.

  • If you have no research experience but want to learn the end-to-end research process– from idea generation to publication– then this course is a great one to start with 
  • If you have some experience but you are not confident enough to start your independent research journey, then this course will be the stepping stone for our supervised research internship (SRI) 
  • If you are an undergraduate student and planning to conduct your first research project, this course will adequately prepare you to step into your undergraduate thesis/project or major paper

What this course is NOT about

Please note-

  • This foundation course will cover some basic statistical principles. But this course is not meant to learn advanced statistical techniques, data management or analysis 
  • The foundation course will introduce data collection strategies and demonstrate some open source and commercial software. 
  • This course is not designed for one-on-one mentorship. However, mentors will be available during office hours where you will have opportunity to discuss your problem. 

About the Instructors

Mohammad Sorowar Hossain, Ph.D.

Professional experience
22+ years (academia and industry combined)

Research experience
Molecular biology (12 years) and Public Health (9 years)

Independent University, BRAC University, University of Health Sciences and University of Wollongong, Australia

Senior Manager (Head, R&D), Incepta Biotech

Post Doc
DUKE-NUS Graduate Medical School (Singapore), Singapore Cancer Centre

National University Singapore (QS world ranking #11)

Graduation (Hons/MS)
Microbiology, University of Dhaka BRF

Research Profile
LinkedIn Profile

ResearchGate Profile

Google Scholar Profile

Enayetur Raheem, Ph.D.

Professional experience
22+ years (academia and industry combined)

Research experience
Statistician and Data Scientist (health industries)

University of Wisconsin-Green Bay
University of Northern Colorado
University of North Carolina at Charlotte and
University of Dhaka

Industry (healthcare) 
ConcertAI (current, Principal Data Scientist)
Atrium Health and Cigna (senior data scientist)
Astrazeneca (Principal data scientist)

Statistics, University of Windsor, Canada

McMaster University Graduation

Applied Statistics, University of Dhaka

BRF Research Profile 

LinkedIn Profile 

Google Scholar Profile 

ResearchGate Profile 

Youtube Channel

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Bangladeshi Taka 10,000  

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Refund Policy
Enrolled students can opt for a full refund (minus the processing fee) after attending the first class only  

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