Computer Science and Data Analytics

Master of Science in Computer Science and Data Analytics

Fully Funded Dual Degree Program

The Master of Science in Computer Science and Data Analytics (MSCS/DA) is a joint program offered by ADA University and George Washington University (GWU). Designed for aspiring data professionals, the program combines advanced technical training with research experience, preparing graduates for careers in both industry and academia.

The program spans five semesters: three semesters are completed at ADA University in Baku, and two semesters at GWU in Washington, D.C. While at GWU, students have access to state-of-the-art laboratories and research centers, gaining hands-on experience in real-world projects. The program concludes with a master’s thesis, enabling students to explore a research or professional topic in depth.

Financial Support

The program is fully funded for Azerbaijani nationals through the State Program. Funding includes:

  • Tuition fees
  • Travel expenses including visa and airfare
  • Living costs in Washington, D.C., including monthly stipend and dormitory accommodation

Students are responsible for paying an annual non-refundable fee of 1,500 AZN student fee.

Important notes:

  1. Azerbaijani nationals who have previously completed a government-funded master’s degree must cover the ADA University tuition themselves. All other costs—travel and living expenses in Washington, D.C.—remain covered by the State Program.
  2. Funding is not available for international applicants.

Eligibility criteria

The program is intended for candidates who have:

  • A bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related field
  • Strong knowledge in: Mathematics (at least two courses beyond Calculus) and Computer Science (e.g., Programming I & II, Discrete Math, Data Structures, Algorithms)
  • A minimum GPA of 3.0 on a 4.0 scale (equivalent to 80/100)
    (ADA students and alumni may apply with a GPA of 2.8)
    • Demonstrated research interest or innovation, through academic projects, publications, or work experience
    • English proficiency certificate (TOEFL IBT 100, IELTS 7.0, PTE 68, or Duolingo 130)

 

Important notes:

  1. IELTS “One Skill Retake” scores are accepted.
  2. English test waivers are available for native speakers or for graduates of English-medium degree programs from countries where English is an official language.

Application process

Application Process

Admission for dual degree is a four-stage process:

Stage 1: ADA University Application

Complete the online application at www.ada.edu.az/apply.

List of required documents

Stage 2: Exams

Stage 3: Interview

Shortlisted applicants are invited for an interview in English. The Admission Committee evaluates academic records, intellectual potential, career focus, and readiness to succeed at ADA University.

Stage 4: George Washington University Application

Candidates who pass ADA’s interview will submit online application to GWU. Nominated candidates are exempt from the GWU application fee.

Only those who complete the admissions process at both ADA University and GWU will be admitted to the program.

Application Deadlines

Applications open: January 2026

First deadline: April 1, 2026

Second deadline: June 1, 2026

17
MSCS/DA Class of 2025
24
%
Female
53
%
Employed
22
Avarage Age
5
Universities Represented
4
Previous Majors
82
%
Fresh Graduates

What you study at CSDA

  • Major Core

    Major Core
    DISCIPLINECOURSE TITLEECTS
    ComputingAdvanced Software Paradigms6
    ComputingComputer Systems Architecture6
    ComputingDesign & Analysis of Algorithms6
    ComputingIntroduction to Big Data & Analytics6
    ComputingApplied Data Analytics6
    ComputingMaster's Thesis I6
    ComputingMaster's Thesis I12
    ComputingAdvanced Topic6
  • Technical Elective

    Technical Elective
    DISCIPLINECOURSE TITLEECTS
    ComputingArtificial Intelligence6
    ComputingData Mining6
    ComputingInformation Retrieval Systems6
    ComputingSpecial Topic6
    ComputingDatabase Management Systems6
    ComputingDistributed & Cluster Computing6
    ComputingMachine Learning6
    ComputingNatural Language Understanding6
    ComputingIntroduction to Computer Vision6

Contact Us

Have more questions? Contact us by phone or e-mail.

Tel: (+994 12) 437 32 35 ext. 328

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