The information and program qualifications related to the Big Data and Business Analytics Master of Science Without Thesis Program, under the Department of Data Engineering and Business Analytics of the Graduate School, are summarized below.
Information About The Program
The Master of Science in Big Data and Business Analytics is a one year program which aims at training data scientists in the field of marketing, finance, and production/operations. It is a program designed to teach graduates the key analytical methods and tools for large-scale data analysis and to gain competence in this field.
Click here for the program's website.
Registration Requirements
Application Term : 2024-2025 Fall Semester (Second Application)
Application Dates : 01.08.2024 09:00:00 - 22.08.2024 17:00:00 ( UTC/GMT+3 )
Application Requirements (For T.C Nationality) ALES is not required. Undergraduate GPA must be minimum 2.00/4 (53.33/100). English proficiency is not required for application. Students who are accepted to the program without a valid English language certificate can complete their final registration but cannot take any courses until they present a valid English language certificate.
Quota (For T.C Nationality): 2
2024-2025 Güz Dönemi (İkinci Başvuru) Uluslararası aday öğrenciler için kontenjan açılmamıştır.
Application Page Graduate Education and Training Regulation Senate Principles
Application requirements, application dates, and quotas are updated in real-time from the Application System.
Program Fees
English Proficiency
Regulations and Guidelines
Academic Calendar
Course Plans
Course Schedules
Course Adjustment and Exemption Procedures
Program Educational Objectives
-To teach the basic concepts and tools used in data analytics
-To teach the different technologies used in the analysis of large and small scale data
-To provide the ability to apply data analytics technologies and tools to business problems
Measurement and Evaluation
Evaluating Student Success
The student success is evaluated considering Articles 56, 57, 58, and 59 of the Istanbul Technical University Graduate Education and Training Regulation Senate Principles.
ARTICLE 56 - Before the enrollment for the courses begins, the faculty member who offers the course informs the Program Executive Committee about the types, number and contribution percentage to the final grade of the studies within the semester, as well as requirements for a right to take the semester final exam. These requirements shall be finalized by approval of the Program Executive Committee and approval of the chair of the department, who declares them to the student and informs the Graduate School.
ARTICLE 57 - A student may appeal the final grade of a course within one week following the announcement of the grades. Appeals must be submitted to the Graduate School in writing. The relevant faculty member shall re-evaluate the student's success status and submit the result to the Graduate School within one week. Appeals not submitted within the prescribed time frame shall not be considered by the Graduate School.
ARTICLE 58 - Courses in graduate programs shall be evaluated according to the following grading system.
| Grade Description |
Grade |
Scale |
| Excellent |
AA |
4.00 |
| Very good plus |
BA+ |
3.75 |
| Very good |
BA |
3.50 |
| Good plus |
BB+ |
3.25 |
| Good |
BB |
3.00 |
| Conditional Pass |
CB+ |
2.75 |
| Conditional Pass |
CB |
2.50 |
| Conditional Pass |
CC+ |
2.25 |
| Conditional Pass |
CC |
2.00 |
| Fail |
FF |
0.00 |
| Fail(No Exam) |
VF |
0.00 |
ARTICLE 59 - Students who wish to improve their cumulative grade point average may retake courses during the course-taking period. The most recent grade will be counted for the repeated courses.
Internship
There is no internship in this program.
Graduation Requirements
The students should take 12 courses / 36 credits and prepare a term project for graduation. Minimum GPA requirement for graduation is 3.0.
The Awarded Degree and Title
Degree : Master of Science Without Thesis Title : -
Program Employment Opportunities
Graduates have employment opportunities as data scientists in the marketing, finance and production departments of companies.
Number of Graduates
Graduate Statistics
| Year | Number of Graduates |
| 2018 | 23 |
| 2019 | 53 |
| 2020 | 40 |
| 2021 | 27 |
| 2022 | 44 |
| 2023 | 26 |
Program Outcomes
P.O.1 The ability to use the theoretical and practical knowledge acquired in the Big Data and Business Analytics area, developing and intensifying those knowledge, based upon the competency gained in the undergraduate level (knowledge), Interpreting and forming new types of knowledge by combining the knowledge from the Big Data and Business Analytics area and knowledge from various other disciplines
P.O.2 Using the knowledge and the skills for problem solving and/or application (which are processed within the Business Analytics and Big Data area) in inter-disciplinary studies (Area specific competency), grasping the inter-disciplinary interaction related to the Big Data and Business Analytics area (knowledge)
P.O.3 Solving the problems faced in the Big Data and Business Analytics area by making use of the research methods , developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of the Big Data and Business Analytics area and coming up with solutions while taking responsibility , assessing the specialistic knowledge and skill gained through the study with a critical view and directing one’s own learning process , the ability to carry out a specialistic study related to the Big Data and Business Analytics area independently
P.O.4 Fulfilling the leader role in the environments where solutions are sought for the problems related to the Big Data and Business Analytics area , ability to see and develop social relationships and the norms directing these relationships with a critical look and the ability to take action to change these when
necessary
P.O.5 Paying regard to social, scientific, cultural and ethical values during the collecting, interpreting, practicing and announcing processes of the Big Data and Business Analytics area related data and the ability to teach these values to others, developing strategy, policy and application plans concerning the subjects related to the Big Data and Business Analytics area and the ability to evaluate the end results of these plans within the frame of quality processes
P.O.6 Using the computer software together with the information and communication technologies efficiently and according to the needs of the Big Data and Business Analytics area, proficiency in a foreign language and establishing written and oral communication with that language , the ability to present one’s own work within the international environments orally, visually and in written forms, systematically transferring the current developments in the Big Data and Business Analytics area and one’s own work to other groups in and out the Big Data and Business Analytics area; in written, oral and visual forms
Program Coordinator
Head of the Department
Links