The purpose of the Statistics Undergraduate Program is to provide students with fundemental knowledge of social sciences involving extensive statistical theory and methods supported by computer sciences.

The general structure of the undergraduate program of statistics is formed and shaped within the framework of the objectives above. The compulsory courses offered in the curriculum are composed of as follows: 46% regarding statistics and mathematics, 22% regarding computer, 21% regarding social, economic and administrative sciences, and 11% regarding other compulsory courses. Undergraduate program is predominantly based on the main branches of statistical science courses as well as the computer science courses. Thus, an academic background is provided for undergraduates to take positions in business life such as Statistician and Web Programmer.

Electives consist of  courses related to statistics, social sciences, computer sciences and economics and business. Students are also able to prefer management courses such as accounting, system analysis, decision support systems, portfolio management,  in addition to economics and sociology courses, which enable them an additional advantage in professional life. 

This ideal Undergraduate Program of Statistics, designed with a new conceptual framework within an interdisciplinary insight, aims at training labor required not only in Turkey but also in all World countries. The program is carried out by young and dynamic academicians of the department with  the contribution of outstanding faculty members of the other universities in Ankara. 

Statistics, Bachelor's Degree (First Cycle)

Bachelor's Degree (First Cycle)

Admissions to the programs are made in accordance with the rules and regulations set down by The Higher Education Council of  Turkey in compliance with the laws and statutes. Students apply to Ufuk University on the dates announced in order to complete their enrolment to the programs. Unless a written excuse is presented, enrolment procedures have to be carried out by the students themselves individually. The process is administered by the Student Registrar's Office. 

Depending on the degrees awarded, theoretical or practical courses taken as part of a degree (completed or not completed) may lead to recognition of these as prior learning by the programme administration. The students who have taken courses in another institution in Turkey or abroad can ask for credit and grade transfer. The executive boards of relevant programme will decide on the courses to be transferred covering students' entire academic program once and for all with the condition that the request for transfer be made within the first week of the academic year, the requests cannot be repeated.

To earn a Bachelors degree: A student is required to successfully complete the designated eight semester- program of courses to accumulate a minimum of 240 ECTS credits and have a minimum GPA of 2.00/4.00 .

To earn an associate degree: A student is required to successfully complete the designated program of courses that are listed for the first four semesters of the program to meet a minimum of 120 ECTS credit requirement and have a minimum GPA of 2.00/4.00

The Department of Statistics is committed to equip the students with the proficiency in the areas of the basic applied and theoretical statistics. The other important aim of the department is to equip the students with capability of computer programming by using up to date programming languages and at the same time being able to set and manage computer systems. The Department intends to equip its graduates with the capability of taking responsibility in any organization that needs statistical researchers, statistical analysts, computer programmers, computer system designers, operators and managers. Our academic program contains basic and advanced applied statistics, statistical theory, and mathematics along with basic and advanced programming courses under different programming languages. Our graduates may be the assistants to decision makers or they may turn out to be well qualified decision makers.

Knowledge

LO1.They know fundamental concepts about statistics and probability.

LO2. They evaluate fundamental statistics and mathematics concepts and events occurring in real world with analytical thinking.

LO3. They overlook fundamental concepts about information technologies.

LO4. They evaluate the effects of statistics and probability practices with other sciences.

Skill

LO5. They have the ability to choose the method to be used in statistics field, to use that method and to evaluate it.

LO6. They use the theoretical and applied knowledge gained in statistics field by adjusting them to the necessities of the company for which he/she is working.

LO7. They have the ability to use database, web programs and develop software.

LO8. They have the ability to interpret and evaluate data, to identify the problems, to analyse them, to develop solutions based on researches and evidences.

Competence

LO9.The capability of controlling the literature to conduct the studies in statistics field and to gain research method knowledge and they can apply team working abilities to reach efficient results in interdisciplinary studies.

LO10. The capability of evaluating hypothesis, idea and theories in statistics field with sceptical, reasonable, analytical, independent and critical aspect. Moreover, in unforeseen, complicated cases the capability of develoing new approaches and offer solutions taking responsibilities.

LO11. The capability of following foreign studies, getting involved in internationalsocial interaction and scientific groups ve sharing his/her own studies with others internationally.

LO12. The capability of using European Computer use licence advanced computer software and information and communication technologies. They have the basic supervisor knowledge about computer operation systems.

LO13. They can apply the knowledge gained in statistics field and problem-solving abilities into interdisciplinary studies. Moreover,in collecting data, interpreting,applying and announcing them, they behave appropriate to social, cultural, scientific and ethic values.

Graduates of the department are equipped with knowledge and skills that they are capable of collecting and analyzing data and making forecasts in different areas such as economics, operations research, biology, health and social sciences. Our graduates are also equipped with knowledge in computer programming, designing and setting computing systems, usage of computer hardware and software. Our graduates are employed in the statistics, research and computing centers of public and private sectors.

May apply to master's or doctorate degree programmes in any field.

- 1 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
1	Compulsory	EKO101	ECONOMICS I	3	5
1	Compulsory	ING101	ENGLISH LANGUAGE SKILLS I	3	3
1	Compulsory	MAT101	CALCULUS I	3	5
1	Compulsory	SOS101	INTRODUCTION to SOCIOLOGY	3	5
1	Compulsory	TUR101	TURKISH I	-	2
1	Compulsory	IST100	INTRODUCTION TO COMPUTER	3	5
1	Compulsory	IST105	STATISTICAL METHODS I	3	5

- 2 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
2	Compulsory	EKO102	ECONOMICS II	3	5
2	Compulsory	ING102	ENGLISH LANGUAGE SKILLS II	3	3
2	Compulsory	MAT102	CALCULUS II	3	5
2	Compulsory	MAT104	LINEAR ALGEBRA	3	5
2	Compulsory	TUR102	TURKISH II	-	2
2	Compulsory	IST106	STATISTICAL METHODS II	3	5
2	Compulsory	ISL106	FUNDAMENTALS OF MANAGEMENT	3	5

- 3 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
3	Compulsory	MAT203	ADVANCED MATHEMATICS II	3	6
3	Compulsory	TAR201	PRINCIPLES and REFORMS of ATATURK I	-	2
3	Compulsory	ING201	READING and SPEAKING in ENGLISH	3	3
3	Compulsory	İST201	MATHEMATICAL STATISTICS & PROBABILITY I	3	6
3	Compulsory	İST203	PROGRAMLAMA DİLLERİ	3	5
3	Compulsory	İST211	OPERATION RESEARCH I	3	4

- 4 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
4	Compulsory	ING202	PROFESSIONAL FOREIGN LANGUAGE I	3	3
4	Compulsory	MAT204	ADVANCE MATHEMATICS II	3	5
4	Compulsory	TAR202	PRINCIPLES and REFORMS of ATATURK II	-	2
4	Compulsory	İST202	MATHEMATICAL STATISTICS & PROBABILITY 2	3	6
4	Compulsory	İST212	OPERATION RESEARCH II	3	4
4	Compulsory	İST216	FİNANS MATEMATİĞİ	3	5

- 5 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
5	Compulsory	ING301	PROFESSIONAL FOREIGN LANGUAGE II	3	4
5	Compulsory	IST303	SURVEY SAMPLING	3	5
5	Compulsory	IST311	REGRESSION ANALYSIS	3	6
5	Compulsory	IST317	CATEGORICAL DATA ANALYSIS	3	5
5	Elective	IST301	STATISTICAL SIMULATION	3	5
5	Elective	ISL103	GENERAL ACCOUNTING I	3	5
5	Elective	ISL209	FINANCIAL MANAGEMENT I	3	5

- 6 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
6	Compulsory	IST302	STATISTICAL SOFTWARE	3	5
6	Compulsory	IST304	NON-PARAMETRIC STATISTICS	3	5
6	Compulsory	IST318	LIFE INSURANCE MATHEMATICS	3	5
6	Compulsory	IST320	OPERATINGS SYSTEMS	3	5
6	Elective	EKO306	TURKISH ECONOMY	3	5
6	Elective	ISL104	GENERAL ACCOUNTING II	3	5
6	Elective	ISL210	FINANCIAL MANAGEMENT II	3	5

- 7 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
7	Compulsory	IST401	MULTIVARIATE STATISTICAL ANALYSIS	3	7
7	Compulsory	İST407	TIME SERIES ANALYSIS	3	6
7	Compulsory	İST413	Web Programming	3	7
7	Elective	EKO401	ECONOMETRIC METHODS	3	5
7	Elective	İST411	FINANCIAL ANALYSIS AND TECHNIQUES	3	5
7	Elective	ISL403	PROJECT EVALUATION	3	5
7	Elective	ISL411	MARKETING RESEARCH	3	5

- 8 -

Semester	Type	Course Code	Course Name	Credits	ECTS Credits
8	Compulsory	IST404	STOCHASTIC PROCESSES	3	7
8	Compulsory	IST406	RESEARCH PROJECT	3	7
8	Compulsory	İST410	Database Management Systems	3	7
8	Elective	İST416	FINANCIAL TIME SERIES	3	5
8	Elective	İŞL402	DECISION SUPPORT SYSTEMS	3	4
8	Elective	ISL406	PORTFOLIO MANAGEMENT	3	5

A student is required to successfully all the courses listed in the above. Minimum of 240 ECTS credit is required for the Bachelor's Degree. A minimum of 120 ECTS credits in the courses listed in the first semesters of the program to obtain an Associate Degree. It is necessary to have a minimum of 2.00 / 4. 00 GPA to earn a degree.

Full time

Chair of the Department
Prof. Dr. Cenap ERDEMİR
E-mail:

Reengineering Departmental Coordinator
Assist. Prof. Aslıhan ALHAN
E-mail: