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Semi-Supervised Research Program (Level 1)

Fundamentals of Scientific Research

To enroll in the course, please visit  https://www.dataskool.org/courses/rwssrp1


Complete Level 1 in four steps!

1
Learn Research Methodology Fundamentals

You will watch pre-recorded video lectures by the instructors. It is vital to familiarize yourself with the fundamental of research methodology, which involves developing a research idea, drafting, defining, and refining research questions.

2
Meet the Mentors

Attend the scheduled supervision hours to discuss your project and get clarifications. Be able to ask questions is an important steps to becoming a successful researcher.

3
Develop a Study Plan

Utilize our tested and proven template to create an effective study plan. The study plan is the first step in developing the study protocol, which will then be expanded into a manuscript.

4
Meet the Mentors

Get help with your study plan. It is crucial to come up with a study plan utilizing our template. Mentors will review your study plan/protocol and give feedback for improvement.

You complete this level with a finalized study plan!

Supervision Schedule (Tentative)

Course Details

Semi-Supervised Research Program 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 distance learning course

Course title
Academic Literacy – Fundamentals of Scientific Research

Course Duration
Self-paced.
Expected project submission within 45 days of enrollment

Credit hours
3 credits (equivalent to university credits)  

Total time ~40 hours
14 hrs recorded lectures (equivalent to ~36 hours of live session)
20 hours of self-study and reading materials
12+ hrs supervision by mentors  

Total Modules
12

Quizzes
06  

Course Evaluation Assignment
01

Course Curriculum

What you will Receive

Certificate of Achivement

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

Waivers

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 (you will develop one as part of the curriculum) 
  • 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 likely guide you towards completing your project with our supervision 
  • 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)

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

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

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

PhD
National University Singapore (QS world ranking #11)

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

Research Profile
https://www.brfbd.org/research-team/mohammad-sorowar-hossain-phd/
 
LinkedIn Profile
https://www.linkedin.com/in/mohammad-sorowar-hossain-5a353664/

ResearchGate Profile
https://www.researchgate.net/profile/Mohammad-Hossain-97/research

Google Scholar Profile
https://scholar.google.com/citations?user=U6XGWcsAAAAJ&hl=en

Enayetur Raheem, Ph.D.

Professional experience
22+ years (academia and industry combined)

Research experience
Statistician and Data Scientist (health industries)

Academia (past positions)
University of Wisconsin-Green Bay
University of Northern Colorado
University of North Carolina at Charlotte and
University of Dhaka

Industry (healthcare) 
Current position
Senior Director of Advanced Analytics (at a Pharmaceutical company in USA)

Past positions
ICON PLC (Senior Principal Clinical Data Scientist)
ConcertAI (Principal Data Scientist)
Atrium Health and Cigna (senior data scientist)
Astrazeneca (Principal data scientist)

PhD
Statistics, University of Windsor, Canada

Masters 
McMaster University Graduation

Hons/MS
Applied Statistics, University of Dhaka

BRF Research Profile
https://www.brfbd.org/research-team/enayetur-raheem/ 

LinkedIn Profile
https://www.linkedin.com/in/raheems/ 

Google Scholar Profile
https://scholar.google.com/citations?user=_7juYKUAAAAJ&hl=en 

ResearchGate Profile 
https://www.researchgate.net/profile/Enayetur-Raheem 

Youtube Channel
https://www.youtube.com/@eraheem

Enroll with Credit Card

Enroll with Nagad/bKash

Level 1 Registration Fee: 
Bangladeshi Taka 7,500

Refund Policy
Since the course materials are available upon registration, there is no refund available.
However, we encourage you to discuss with us prior to registering if this program is right for you.

Signup using the form below!

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