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Professional certificate · Non-degree

Professional Certificate in Data Science

A non-degree professional program building a foundation in data, computation and analytical problem-solving, combining data science, database systems, applied machine learning and programming languages and compilers.

$39 one-time4 courseswithin 12 months of enrollment100% online

This is a professional credential, not a degree.After completing the required courses and learning activities, participants may be eligible to receive a digital certificate of completion from ACLAS. The certificate recognizes completion of this non-degree professional learning program. ACLAS classes Mini-MBA, Executive Certificate and Professional Certificate programmes together as non-degree professional learning credentials: they carry no academic credit towards an ACLAS degree.

$39
One-time tuition
4 courses
Professional track
12 months of enrollment
Completion window

Curriculum

4 required courses

Every course listed is required. There are no electives and no substitutions.

—Data Science
—Database Systems
—Applied Machine Learning
—Programming Languages and Compilers

Course descriptions, lesson outlines and durations for each of these courses are published in the ACLAS course catalog.

Outcomes

What the programme covers

  • Understand how data supports analysis, prediction, automation and decision-making.
  • Describe how data is stored, structured, managed and retrieved in database systems.
  • Explain how machine learning models identify patterns, support predictions and generate insight.
  • Understand programming language concepts and their role in data workflows and analytical tools.
  • Recognize how data science connects to business analytics, artificial intelligence and digital transformation.
  • Prepare for further study or work in data science, analytics, machine learning and software.

Who it is for

Intended audience

  • Students, professionals, analysts, managers, entrepreneurs and career changers who want to understand data-driven work.
  • No prior data science, programming or machine learning background required; open to any professional background.

Note on the source page.The published aclas.college page for this programme renders the programme slug in place of the credential name in several headings, and carries degree-page boilerplate in its accreditation block. None of that is reproduced here. See the certificate index for the verified programme details.

Accreditation.ACLAS holds ISO 29995:2021 certification from AQS, full accreditation from the International Association for Quality Assurance in Higher Education (QAHE), and full online accreditation from the European Association for Higher Education Advancement (EAHEA). These credentials affirm our commitment to high-quality education. However, ACLAS is not accredited by the U.S. Department of Education and is not regulated by the Georgia Nonpublic Postsecondary Education Commission (GNPEC). ACLAS does not admit Georgia residents.

Enrolment

How to enrol

Certificate programmes are enrolled and paid for on the ACLAS campus at aclas.college. Tuition is a one-time payment of USD 39 covering all 4 courses.

All 4 courses must be completed within 12 months of enrollment. Instalment plans are available and carry a USD 2 processing fee per instalment.

On completion

What you receive

After completing the required courses and learning activities, participants may be eligible to receive a digital certificate of completion from ACLAS. The certificate recognises completion of this non-degree professional learning programme.

  • Digital certificate of completion from ACLAS
  • Verifiable through the free ACLAS certificate lookup
  • Recognised as a professional credential, not an academic award

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Enrol on the Professional Certificate in Data Science

USD 39 one-time for 4 courses. Complete them within 12 months of enrollment.