2026-2027 Fall Semester Graduate Applications - Data Informatics Master's Program Interview Information

The interview for the Master's Program in Data Informatics Department will be conducted online and is scheduled for April 08, 2026. We strongly encourage all applicants to regularly check the department's admission webpage, the main departmental website, and both their inbox and spam folders for updates. (Shortlisted candidates interview information will send to the candidates' email addresses.)

Announcement Category

Announcement

Başak Düşün Kocakaya, Exploring Human Factors in Large Language Model-Assisted Software Development

This thesis presents an empirical investigation into the impact of Large Language Model (LLM) assistance on the human factors of software practitioners. Through a controlled within-subject experiment conducted with 30 practitioners, the study compares conditions with and without LLM support using a software requirements specification task. The research utilizes validated psychometric scales and semi-structured interviews to analyze four key dimensions: perceived task complexity, motivation, sense of achievement, and creative self-efficacy. The study provides structured empirical evidence on how LLM tools shape cognitive and psychological processes beyond technical productivity.

Date: 03.04.2026 / 14:30 Place: A-212

English

FAST-TRACK YOUR GRADUATE JOURNEY!

 

We are excited to offer METU undergraduate students (7th semester or beyond) the chance to enroll in graduate-level courses at the Graduate School of Informatics under NI (not included) status.

 WHY JOIN THIS PROGRAM?

  • Early Exposure: Get a head start on graduate-level research and education.

  • Time Efficiency: Courses completed with a CC or higher can be counted toward your future master’s degree, allowing you to graduate sooner.

  • Flexible Planning: Better manage your future academic workload.

ELIGIBILITY & REQUIREMENTS

  • Target: METU students in their 7th semester or later.

  • Academic Record: Strong standing (check specific cumGPA requirements below).

  • Transfer Credit: Course must be taken as NI and completed with a minimum grade of CC to count toward a graduate degree later.

DON’T MISS OUT!

Shape your future today and gain a competitive edge before you even walk across the graduation stage.

Check the list on this table for the course details, schedules and enrolment criteria.

 

Announcement Category

Announcement

Regarding 2026-2027 Fall Semester Applications and ALES/1-2026 Process

Applications for the 2026-2027 Academic Year Fall Semester graduate programs at our University will be accepted via the online application system between February 23, 2026 – March 27, 2026, as previously stated in the academic calendar.

Due to the earlier application schedule this year, a special application and evaluation process will be implemented exclusively for this semester by our Institutes. This measure aims to prevent any grievances for candidates planning to take the Academic Personnel and Postgraduate Education Entrance Exam (ALES/1-2026) on May 10, 2026.

Candidates applying within this scope must pay attention to the following points:

1. Application Process and Dates All candidates, including those who will take the ALES/1-2026 exam, must complete their applications through the online system between February 23 – March 27, 2026.

2. Procedure for Candidates Awaiting ALES Scores Candidates who do not currently hold a valid ALES score but are registered to take the exam on May 10, 2026, must follow these steps:

  • Log in to the application system and upload all other required documents (transcript, letter of intent, reference letters, etc.) requested by the program, excluding the ALES score document.

  • The ALES scores of these candidates will be automatically retrieved from the system by the Institute once the results are announced by ÖSYM (Estimated Date: June 5, 2026). Candidates do not need to submit this document manually.

3. Evaluation Calendar The evaluation of applications will be conducted in two separate timelines:

  • Candidates with Existing ALES Scores: Applications of candidates with complete files will be evaluated and concluded within the dates specified in the current academic calendar.

  • Candidates Awaiting ALES/1-2026 Results: The evaluation process for these candidates will take place at a later date following the announcement of the exam results. The results will be announced separately.

Very Important Notice: This exception applies strictly to the ALES document. Applications of candidates who are missing any other mandatory documents (e.g., transcripts) as of March 27, 2026, will be rejected immediately, regardless of their pending exam results.

We wish all candidates success.

Announcement Category

Announcement

Gizem Kaya, Enhancement of Demand Forecasting for Agrochemical Products Through Advanced Analytics

This thesis aims to improve demand forecast accuracy through the implementation of machine learning/deep learning applications. SARIMA, LSTM, CNN, and Prophet models are implemented to forecast demand. The models are trained and validated using forward-chaining cross validation method. It applies time series forecasting on a seasonal, unbalanced and intermittent dataset. The effects of selected exogenous indicators and aggregation-disaggregation approaches are examined for further improvement.

Date: 20.01.2026 / 14:30 Place: A-212

English

Nilsu Şahin, An Integrated Computational Approach for AI-Assisted BIM Analytics and Digital Twin Development

This thesis presents an integrated framework for AI-assisted BIM analytics and digital twin development to support indoor navigation and emergency evacuation. Revit-based BIM data are transformed into a unified pipeline by separating geometric representations from structured spatial information and integrated into a Unity-based digital twin. Real-time indoor pathfinding is enabled using the A* algorithm while considering physical evacuation constraints. A large language model (LLM) provides natural-language navigation instructions and supports context-aware user interaction. The system enables interactive visualization and testing and is evaluated through user studies, demonstrating a scalable and human-centred approach for BIM-based digital twin applications.

Date: 14.01.2026 / 14:15 Place: II-06

English

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