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About our program

Algebra University joined a pathway collaboration with Massachusetts Institute of Technology (MIT) on their MITx MicroMasters® program in Statistics and Data Science. Students who wish to study Data Science at Algebra University can choose learn and obtain the MITx Certificate – MIT MicroMasters® program in Statistics and Data Science on top of their two-year Master’s degree program at Algebra University.

Students holding a Certificate – MITx MicroMasters® program in Statistics and Data Science can apply for recognition of prior learning with the scope of enrolling into a two-year Master’s degree program at the Algebra University. Those students will be exempted of courses already taken at the MIT MicroMasters® program.

Who can apply:

Data science teams today include three types of experts:

  • technical experts (responsible for infrastructure and scalability),
  • mathematicians (responsible for data models and methods) and
  • business experts (responsible for the creation of the end business value).

Realizing that data science is a team effort is just as important as discovering your personal superpowers.

If you already hold a Certificate MITx

  • Well done! Since you already have an MITx certificate, you are going to save yourself a lot of time and resources in obtaining the Professional Master’s degree in Applied Computer Engineering with specialization in Data Science at Algebra University. You will be exempted of courses already taken at the MIT MicroMasters® program.

Admission if you don’t have an MITx Certificate

  • No worries! Our mentoring team will help you balance the MITx courses with your courses at Algebra and provide you with expert guidance in obtaining the MITx certificate and the Professional Master’s degree in Applied Computer Engineering with specialization in Data Science at Algebra University

Admission if you don’t wish to apply for an MITx Certificate

  • Data scientists are in constant demand – more than 90% of our students receive offers from employers to apply their skills in their companies almost as soon as they enroll in our Data Science study programme.

The MIT MicroMaster in Statistics and Data Science

This MicroMasters® program in Statistics and Data Science was developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). It is a multidisciplinary approach comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization.

MicroMasters® program

The MIT MicroMaster in Statistics and Data Science

This MicroMasters® program in Statistics and Data Science was developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). It is a multidisciplinary approach comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization.

Information about the program can be found here:

Dual Degree award

Study programme duration

4 semesters (2 years)

Semester duration

15 weeks of active teaching
+ 4 examination weeks

Total number of ECTS points

120

Goldsmiths, University of London Title

MSc in Applied Computer Engineering (Data Science)

Algebra University Title

mag. ing. comp.

Professional Master in Computer Engineering, sub-specialization in Data science

Certifications obtained during studies

IT SMF
ITIL Foundation

Introduction to Programming Using Python

Tableau Desktop Qualified Associate