The professional standard in data science education

Advance your career in the data science profession through our internationally recognised credit rated qualifications and credentials.
SOME OF THE ORGANISATIONS OUR GRADUATES WORK AT

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
22 Weeks
University Credit Rated Qualification
Credits: 30 ECTS
 €2475
COURSE
Postgraduate Diploma in
Data Science
44 Weeks
University Credit Rated Qualification
Credits: 60 ECTS
 €4950
COURSE
MSc Data Science
1 year full time / 2 years part time
University Masters Degree
Credits: 90 ECTS
 €7425

Professional Certifications

Enhance your employability and recognition by combining your degree and experience with success in the Data Science Institute's industry recognised  and approved professional certifications. 
Certified Professional Data Analyst
 CPDA
Certified Professional Data Scientist
 CPDS
Fellow of the Data Science Institute 
FDSI
  • Achieve certified professional status by confirming your professional experience and completing a Data Science Institute credit rated qualification OR by submitting your recognised degree and succeeding in the Data Science Institute's professional exams.

Join our Partner Network

Joining our education partner network will enable you to

  • Boost student enrolments
  • Enhance your course portfolio with education in the world's fastest growing professions
  • Co-deliver academically credit rated data science courses
  • Increase revenues
  • Access the institutes’s online learning and assessment platform
  • Become part of a larger network
  • Get your students ready for careers in data science and analytics 

 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”