Dokuz Eylul University
Master of Science
On Campus
Dokuz Eylul University logo
Dokuz Eylul University
Turkey

Computer Engineering (Non-Thesis)

About

The English-medium Non-Thesis Master’s in Computer Engineering (Evening / Part-time) at Dokuz Eylül University offers advanced professional education in computing and technology without requiring a research thesis. The programme focuses on modern topics such as software engineering, data science, cybersecurity, cloud computing, network systems, and advanced programming. Through a combination of theoretical foundation and practical project work, students develop skills needed to meet current industry demands. Evening-shift instruction in English makes this programme suitable for working professionals or students with daytime commitments, while still providing rigorous academic and technical training.

Situated in İzmir — a city with thriving technology and industrial sectors — this programme provides access to experienced faculty, modern labs, practical projects, and industry-oriented courses. The curriculum emphasizes real-world problem solving, hands-on exercises, and up-to-date computing trends, enabling graduates to adapt quickly to professional environments. With English-medium instruction and flexible scheduling, students gain both global competency and practical expertise that prepares them for careers in software development, systems design, data analytics, or technology leadership roles.

Key information

Duration
-
Tuition fee
$0.00/year
Start dates & application deadlines
-
More details
-

Key Facts

  • Degree: Master of Science (M.Sc.) / Non-Thesis
  • Standard period of study: 2 years (4 semesters)
  • Location: İzmir
  • Study Type: Postgraduate (evening / part-time)
  • Admission semester: Fall semester
  • Area of study: Computer Engineering, Software, Data Science, Cybersecurity, Cloud & Networks
  • Admission modus: With admission requirement
  • Main language: English

Program Structure

Semester 1 – Core Advanced Computing I

  • Advanced Software Engineering & Design
  • Database Technologies & Big Data Fundamentals
  • Computer Networks & Security
  • Seminar: Professional Ethics in Computing

Semester 2 – Core Advanced Computing II

  • Machine Learning & AI Fundamentals
  • Cloud Computing & Distributed Systems
  • Web and Mobile Application Development
  • Seminar: Innovation in Technology

Semester 3 – Specialization & Applied Projects I

  • Elective I (e.g. Cybersecurity Techniques, DevOps, Data Analytics)
  • Elective II (e.g. Advanced Algorithms, IoT Systems)
  • Applied Project I (Team or Individual)
  • Seminar: Research and Professional Skills

Semester 4 – Professional Project & Graduation

  • Applied Project II (Capstone-level)
  • Emerging Tech Seminar (AI, Edge, Blockchain)
  • Seminar: Career Development & Technology Leadership
  • Graduation Requirements & Degree Completion

Career Opportunities

Graduates of this programme are prepared for professional roles such as software developer, systems architect, data engineer, cloud specialist, cybersecurity professional, or IT consultant. They may also work in technology firms, IT departments of corporations, start-ups, or as technical leads in software and systems projects. With strong practical skills and English-medium training, graduates are well-positioned for both national and international opportunities in computing, software development, data science, networks, and emerging technology fields. They may also pursue industry certifications or advanced specialized training to further enhance their career paths.

Why Choose This Program

Choosing the Non-Thesis Master’s in Computer Engineering (Evening) means joining a programme that combines rigorous technical training with practical project experience in modern computing areas. Students benefit from English-medium instruction, flexible evening scheduling, and a curriculum aligned with current technology trends and professional standards. The programme helps students develop strong software, systems, and analytical skills that are essential in the tech industry. This flexible structure supports students in balancing education with work and professional growth.

Moreover, the programme offers a variety of electives such as AI, cybersecurity, cloud computing, and data analytics — allowing students to tailor their studies according to career interests. Through applied projects, seminars, and industry-oriented courses, graduates build versatile skills and readiness for diverse tech roles in global markets. This diversity of training ensures graduates are adaptable and competitive across technology sectors.

Contact Information

Dokuz Eylül University – Student Affairs Directorate
Dokuzçeşmeler Campus
35160 İzmir, Turkey
Tel: +90 232 301 00 00
Fax: +90 232 420 48 00
Email: ogrenci.isleri@deu.edu.tr

Department of Computer Engineering – Graduate Programme Contact (Evening, English)
Faculty of Engineering, Dokuz Eylül University
Tinaztepe Campus, Buca
35160 İzmir, Turkey
Tel: +90 232 412 70 00
Email: compeng_grad_evening@deu.edu.tr

International Office – Dokuz Eylül University
Rectorate Building, Dokuzçeşmeler
35160 İzmir, Turkey
Tel: +90 232 301 12 34
Fax: +90 232 464 78 50
Email: international@deu.edu.tr