Certificate Program in Statistical Methods & Research Methodology ( ODL )
The course aims to provide in-depth Knowledge in statistical methods and in research methodology and is structured to give students scope for professional development and understanding the importance of Statistics in Research. The course provides opportunity to develop skills for data analysis and the statistical programmes such as SPSS, MATLAB in order to provide field experience and hands- on training. The course will also help students from various branches of Health sciences and related programs involved in research as a part of their academic requirements or professional engagement. This will also meet the needs of researchers who are in the process of developing their research proposals, acquiring skills of data collection, analyzing their data, and those aiming to get their research work published. This Program enables students to develop and understand basic concepts of research, research process and statistics in a short duration.
The Course accounts for a total of 20 credits.
The Course has three components: Core papers (I and II) and dissertation/Report Writing.
Component 1: Core Paper I
- Unit 1: Introduction to research
- Unit 2: Case Study
- Unit 3: Sampling Techniques
- Unit 4: Fundamentals of statistics
- Unit 5: Testing of Hypothesis
Component 2: Core Paper II
- Practical
Component 3: Independent Project work (dissertation/ Report Writing)
Eligibility for the award of the Certificate Course:
A student shall be declared to be eligible for the award of the Certificate Programme in Statistical methods and Research Methodology in Open Distance Learning mode, when he/she has fulfilled the following conditions.
- Successful completing/attending the contact classes conducted by the department as per the UGC & JSSAHER guidelines.
- Registered for and undergone all the core and Practical classes and completed the Project Work or Field Trip, if any as prescribed by the Scheme of Examinations.
- Successfully acquired the required credits under elective courses as specified in the curriculum of the Program within the stipulated time.
- Have no dues to the University, Hostel and Library.
- Has no disciplinary action pending against him/her.
Graduation/ Internship/ Post graduation/ PhD in the following disciplines
Medicine / Dentistry/ Paramedical/ Pharmaceutical Sciences/ Allied health sciences
Nursing/ Life sciences/ Public health & Health-care.
Indian Students : INR 10,000
NRI Students : USD 133.30
Course fee includes course materials.
Forms
- Program Project Report
Bangalore University
Bangalore University
Bangalore University
Bangalore University
Department / Subject Taught
Medical Statistics
Apr 30, 2011
2 Years 10 Months
Medical Statistics
May 31, 2012
1 Years 0 Months
Medical Statistics
Mar 31, 2017
2 Years 3 Months
Medical Statistics
Mar 31, 2017
2 Years 2 Months
To work with passion for teaching and build a friendly relationship with the students in order to communicate, organize and help students in order to developing their skills and ability provide student counseling , assist student in reaching their potential and ensure the learning environment is appropipriate and positive.
Stavelin Abhinandithe is presently working as Assistant Professor in Department of Medical Statistics , Faculty of Life Sciences, JSSAHER. She has an working experience of 10 years in teaching profession with area of interest in time series analysis, Multivariate analysis and data Mining techniques . She has published 6 papers in peer reviewed national and international journals. She has taught Statistics as an elective paper for Msc Mathematics students, Msc Molecular Biology and Msc in Criminology and Forensic Science students in Maharaja's and Yuvaraja's colleges in Mysore . She has an experience of teaching Research Methodology paper for Ph.D students ( Criminology and Forensic Science students) in Maharaja's college.she is also engaging classes for Ph.D students who have enrolled for their course work in JSSAHER and taking classes on Research Methodology and statistical methods. Presently She is pursuing Ph.D in Division of Medical Statistics,Faculty of Life Sciences, Department of Water and Health, JSS Academy of Higher Education and Research, Mysuru.
Time Series Analysis , Multivariate techniques and deep Learning