The professional standard in data science education

Advance your career in the data science profession through our internationally recognised credit rated qualifications and credentials.
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Data Science Institute Courses

Our courses are university equivalent accredited with internationally transferable credits under the
European Qualifications Framework.
COURSE
Professional Certificate in
Data Science
Self paced + Live Online Classes
20 Weeks 
University Credit Rated 
Credits: 30 ECTS
£1340

COURSE
Postgraduate Diploma in
Data Science
Self paced + Live Online Classes
40 Weeks
University Credit Rated 
Credits: 60 ECTS
£2860

COURSE
MSc Data Science
1 year full time / 2 years part time
University Masters Degree
Credits: 90 ECTS
£5800

Professional Credentials

Our professional certifications enhance your employability by combining recognised academic
credentials with a thorough understanding of our industry approved knowledge base.   
Certified Professional Data Analyst
 CPDA
Certified Professional Data Scientist
 CPDS
Fellow of the Data Science Institute 
FDSI
  • You can achieve certified professional status by completing the Data Science Institute’s credit rated qualifications OR by combining your recognised degree with success in the Data Science Institute's professional exams

Join our Partner Network

Join our partner network to expand your institution's course portfolio, increase student enrolments and provide education for one of the fastest growing professions in the world.

By joining our education partner network, you’ll benefit from:

  • An academically accredited and industry validated curriculum
  • Highly structured and comprehensive data science course content
  • Access to the Institutes’s online learning and assessment platform
  • An opportunity to boost student enrolments
  • Support in providing blended learning programmmes
  • Add education in for one of the world's fastest growing professions to your course portfolio

 Why choose the Data Science Institute?

By providing academically accredited and industry developed courses and professional credentials, the Data Science Institute enables students and data professionals to gain and confirm skills and knowledge relevant to the needs of employers across a wide range of industries and sectors.

The Impact of Data Science

Data Science has emerged as one of the key professions of the 21st century. By combining mathematical knowledge with programming skills, computing power and big data, data science uncovers solutions to problems that have transformed traditional industries and created entirely new business and operating models.

Academic Recognition

The Data Science Institute is a member college of Woolf, one of the fastest growing collegiate universities in the world and our diploma and degree programmes are accredited under the European Qualifications Framework.

Industry Validation

Our courses and certification exams are developed by academics and data professionals with over 50 years combined experience in data science and analytics, so they are validated not only academically, but also for professional industry practice. In doing so they conform to the Edison European Data Science Framework's body of knowledge (DS-BoK)

See what our students say about us

Mohammed Hamad Analytics Lead DXC Technologies

“The course is very strong technically and the support was excellent”

Jehad Mossa Senior Manager PWC

“The overall course programme is very complete and I developed my data science knowledge substantially”

Manuel Tanpoco (Ed.D, MBA) Professor of Mathematics La Salle University

“As a mathematician and lecturer, I was impressed with the course content and explanation of the statistical methods and algorithms. I also benefited greatly from learning Python and R”

Mohammed Hamad Analytics Lead DXC Technologies

“The course is very strong technically and the support was excellent”

Jehad Mossa Senior Manager PWC

“The overall course programme is very complete and I developed my data science knowledge substantially”

Manuel Tanpoco (Ed.D, MBA) Professor of Mathematics La Salle University

“As a mathematician and lecturer, I was impressed with the course content and explanation of the statistical methods and algorithms. I also benefited greatly from learning Python and R”

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