Data Science Institute
A full member of Woolf, a Higher Education Institution in Europe.
Accreditation:
Our mission
The Data Science Institute’s mission is to provide outstanding education and certification for data science professionals around the world and help them apply their skills and knowledge to successfully contribute to data literacy, innovation and digital transformation within organisations and society as a whole.
Academic Programmes
Our academic qualifications and professional credentials have been developed to reflect that data science professionals not only require technical expertise, but are also trained to think scientifically and creatively apply their knowledge to solving real world problems.
Our academic courses are fully accredited under the European Qualifications Framework and provide internationally transferable credits. We currently offer a Postgraduate Certificate, Postgraduate Diploma and MSc in Data Science that are open to graduates and from computing, science, business and other numerate disciplines.
Our programmes develop the mathematical, statistical, programming and data visualisation skills required for data science, as well as provide the opportunity to apply these to real world problem solving through project based assessment.
Our Students
Our students and credential holders come from a wide range of backgrounds from across the private, public and academic sectors. They include senior and middle managers and experienced data scientists and data analysts, as well as those looking to enter straight in to the field after higher education or those transitioning from other careers.
In addition, their academic backgrounds range from computer science, business and management, pure sciences, maths and statistics, engineering, with degrees at undergraduate and postgraduate levels up to PhD level.
Degrees
Postgraduate Diploma in Data Science
Postgraduate Diploma in Data Science
The course teaches students comprehensive and specialised subjects in data science; it develops sophisticated skills in statistics, mathematical modelling, and the ability to code in support of such analyses. It further grounds students in the disciplinary history and methodology of data science, preparing them for either further study or to work as a practitioner in the field. The program prominently features a major capstone project, requiring students to identify a real-world problem that would benefit from a data-driven approach; to collect and prepare the data to address the problem; and to build visualisations in support of their arguments. The combination of rigorous mathematical training with practical approaches gives learners the ability to autonomously further develop their skills after graduation, turning them into lifelong learners of data science methods.
Postgraduate Certificate in Data Science
Postgraduate Certificate in Data Science
The course teaches students comprehensive and specialised subjects in data science; it develops sophisticated skills in statistics, mathematical modelling, and the ability to code in support of such analyses. It further grounds students in the disciplinary history and methodology of data science, preparing them for either further study or to work as a practitioner in the field. The program prominently features a major capstone project, requiring students to identify a real-world problem that would benefit from a data-driven approach; to collect and prepare the data to address the problem; and to build visualisations in support of their arguments. The combination of rigorous mathematical training with practical approaches gives learners the ability to autonomously further develop their skills after graduation, turning them into lifelong learners of data science methods.
Master of Science in Data Science
Master of Science in Data Science
The course teaches students comprehensive and specialised subjects in data science; it develops sophisticated skills in statistics, mathematical modelling, and the ability to code in support of such analyses. It further grounds students in the disciplinary history and methodology of data science, preparing them for either further study or to work as a practitioner in the field. The program prominently features a major capstone project, requiring students to identify a real-world problem that would benefit from a data-driven approach; to collect and prepare the data to address the problem; and to build visualisations in support of their arguments. The combination of rigorous mathematical training with practical approaches gives learners the ability to autonomously further develop their skills after graduation, turning them into lifelong learners of data science methods.
Dean
Grainne Barry
Co-Founder and CEO of the Data Science Instititue , an organisation focused on delivering higher education and qualifications that enable anyone to transition to data science. As Data Science, Analytics, Machine Learning and AI are transforming business, our mission is to give access to professional and higher education in these fields globally. Our unique programmes are developed by industry professionals and lead to internationally recognised credit rated qualifications that are accessible, affordable and fast track to Masters and Bacherlors degrees.
Academic board members
Sujata Suvarnapathki
Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Statistics, Research, Data Analysis, Lecturing, and Science. Strong education professional with a M.Sc. focused in Statistics from University of Mumbai.
Stephen Dorgan
Advisor, CEO and Non-Executive Director with over 20 years consulting, line management and boardroom experience.
Stephen works with leading industrial and healthcare businesses to transform corporate performance and productivity in a dramatic, tangible and sustainable way.
Stephen has created over $10bn in value via corporate turnarounds and operational improvement, while also saving thousands of industrial jobs. He has improved the quality of healthcare for millions, saving >80,000 years of life, doubling the performance of entire healthcare systems and generating >$5bn in value for national economies.
A leading thinker on how management practice drives corporate performance, his tools have been deployed in over 19,000 organisations across 35 countries. He is an international expert and author on management practice, productivity, and performance in both industrial and healthcare organisations.
For 30 years Stephen has worked with a range of charities focused upon improving the quality of life for the most vulnerable in society. He has received >20 awards and honours for his contributions to Engineering, Manufacturing, and Management Practice, including a knighthood for his charitable work.
Eur Ing Dr Stephen Dorgan GCHS BE ALM PhD CEng FIET FIoD FRAMI Chartered Engineer, Chartered Electrical Engineer, Dip IoD
Professors, Instructors and professional experts
Vinayak Deshpande
- M.Sc. Statistics, Mumbai University (1997),First Rank
- Professor- Ramnarain Ruia College (1997-2007)
- Founder, Managing Director: Sankhya Analytical Research Pvt. Ltd. (2007)
- Director: Medicounts Life Sciences Pvt Ltd(2013)
- Principal Consultant: Direxions Marketing Solutions Pvt. Ltd. (2013)
- Provided consulting services to reputed clients in India, USA and Korea in BFSI, Retail,
- FMCG and Pharma domains
- Published papers on biostatistics, marketing analytics ,econometrics
- Member-Board of Studies St. Xaviers College, Mumbai
- Member-Board of Studies SIES College, Mumbai
- Member-Board of Studies Ramnarain Ruia Autonomous College, Mumbai
- Member-Data Safety Monitoring Board (Alkem Laboratories and Glenmark Pharma)
Recent research papers:
- Evaluating Principal Component Regression in case of severe Multicollinearity.
- Comparison of predictive modeling methods: Naïve Baye’s,Logistic Regression and
- Support Vector Machines.
Sujata Suvarnapathki
Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Statistics, Research, Data Analysis, Lecturing, and Science. Strong education professional with a M.Sc. focused in Statistics from University of Mumbai.
Paul Penman
Stephen Dorgan
Advisor, CEO and Non-Executive Director with over 20 years consulting, line management and boardroom experience.
Stephen works with leading industrial and healthcare businesses to transform corporate performance and productivity in a dramatic, tangible and sustainable way.
Stephen has created over $10bn in value via corporate turnarounds and operational improvement, while also saving thousands of industrial jobs. He has improved the quality of healthcare for millions, saving >80,000 years of life, doubling the performance of entire healthcare systems and generating >$5bn in value for national economies.
A leading thinker on how management practice drives corporate performance, his tools have been deployed in over 19,000 organisations across 35 countries. He is an international expert and author on management practice, productivity, and performance in both industrial and healthcare organisations.
For 30 years Stephen has worked with a range of charities focused upon improving the quality of life for the most vulnerable in society. He has received >20 awards and honours for his contributions to Engineering, Manufacturing, and Management Practice, including a knighthood for his charitable work.
Eur Ing Dr Stephen Dorgan GCHS BE ALM PhD CEng FIET FIoD FRAMI Chartered Engineer, Chartered Electrical Engineer, Dip IoD
Grainne Barry
Co-Founder and CEO of the Data Science Instititue , an organisation focused on delivering higher education and qualifications that enable anyone to transition to data science. As Data Science, Analytics, Machine Learning and AI are transforming business, our mission is to give access to professional and higher education in these fields globally. Our unique programmes are developed by industry professionals and lead to internationally recognised credit rated qualifications that are accessible, affordable and fast track to Masters and Bacherlors degrees.
Snigdha Pain
Snigdha is Professor of Statistics at Lady Brabourne College, a leading college for women’s education. She has an MPhil in Computer Application of Statistics and has published many academic papers focused on healthcare and nutrition. In addition to over 15 years teaching core statistics, has over five years’ experience teaching data science and advanced analytics with R, Python, C, SPSS and business intelligence tools. Snigdha also consults to industry and has had many assignments in healthcare and the pharmaceutical sector.