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Vocational School

Big Data Analytics

Haliç Üniversitesi | Academic | Vocational Schools | Vocational School | Programs | Big Data Analytics
About Programme
Program Director
Lecturers
History
Qualification Awarded
Admission Requirements
Higher Grade Transition
Lesson Plan
Graduation Requirements
Occupational Profiles of Graduates
Assessment and Grading
ECTS and Erasmus Coordinator of the Department
Faculty Secretary / Institute Secretary
About The Program
Büyük Veri Analistliği programı, öğrencilere büyük ölçekli verilerin toplanması, depolanması, analiz edilmesi ve iş dünyasında kullanılabilir bilgilere dönüştürülmesi konusunda yetkinlik kazandırır. Program kapsamında çeşitli programlama dilleri ve büyük veri teknolojileri ile veri analizi, istatistik, makine öğrenmesi, veri görselleştirme ve iş zekâsı uygulamaları öğretilir. Öğrenciler ayrıca veri güvenliği ve etik konularında bilgi edinir, gerçek veri setleriyle projeler yaparak teorik bilgilerini pratikte pekiştirirler.
 
AHMET MURAT ERMİŞ

AHMET MURAT ERMİŞ

Lecturer

Instructor

ahmetmuratermis@halic.edu.tr

More Info
OSMAN GÜLTEPE

OSMAN GÜLTEPE

Lecturer

Instructor

osmangultepe@halic.edu.tr

More Info
YASEMİN GÜNTER

YASEMİN GÜNTER

Lecturer

Instructor

yasemingunter@halic.edu.tr

More Info
The Big Data Analytics Program was established within the Vocational School of Haliç University in the 2025–2026 academic year and offers formal (on-campus) education. The language of instruction is Turkish.
Students who successfully complete all the program requirements receive an associate degree in Big Data Analytics at the end of the 4th semester.
1 - High school diploma or an equivalent certificate
2 - Score from the Higher Education Institutions Exam (TYT)
There is no information regarding vertical transfer for the Big Data Analytics Program in ÖSYM.
The duration of the Big Data Analytics Program is two years, and the language of instruction is Turkish.

1.Semester Course Plan

Ders KoduDers AdıT+U+LAKTSDers Türü
BPP1110Probability and Statistics3+0+04Compulsory
BVA1001Data Science3+0+04Compulsory
BVA1003Big Data Technologies2+2+04Compulsory
HLÜ0110Basic Information Technologies3+0+03Compulsory
MYO0010Mathematics3+0+04Compulsory
OZD0101Turkish Language I2+0+02Compulsory
OZD0103History of Turkish Revolution and Ataturk's Principles I2+0+02Compulsory
OZD0105English I3+0+03Compulsory
YZO1001Introduction to Programming with Python2+2+04Compulsory

2.Semester Course Plan

Ders KoduDers AdıT+U+LAKTSDers Türü
BGT2190Introduction to Machine Learning3+0+04Compulsory
BPP1002Data Structures and Programming2+2+05Compulsory
BTP1002Database Design and Management I2+2+05Compulsory
HLÜ0120Occupational Health and Safety2+0+02Compulsory
OZD0102Turkish Language II2+0+02Compulsory
OZD0104History of Turkish Revolution and Ataturk's Principles II2+0+02Compulsory
OZD0106English II3+0+03Compulsory
ADS1XX2Non-Area Elective I (University)-3Elective
HLÜ0130Entrepreneurship3+0+03Elective
HLÜ0140Social Life3+0+03Elective
HLÜ0150Film Analysis3+0+03Elective
HLÜ0160Political History3+0+03Elective
AİS1XX2Area Elective I-4Elective
BGT1100Multimedia Applications3+0+04Elective
BGT1110Introduction to Artificial Intelligence3+0+04Elective
BGT1120Computer Networks3+0+04Elective
BGT1130Content Management Systems3+0+04Elective
BPP1100innovation3+0+04Elective
BPP1120Software Fundamentals3+0+04Elective
BTP1100Graphic Animation3+0+04Elective
BTP1110Linear Algebra3+0+04Elective
BTP1120Introduction to Computer Aided Design3+0+04Elective
BTP1130Algorithms3+0+04Elective
BVA1100Big Data Privacy and Security3+0+04Elective

3.Semester Course Plan

Ders KoduDers AdıT+U+LAKTSDers Türü
BPP2130Data Warehousing and Data Mining3+0+04Compulsory
BVA2001Data Visualization and Reporting2+2+04Compulsory
BVA2003Cloud Computing for Big Data3+0+05Compulsory
MYO2010İnternship0+0+05Compulsory
AİS2XX1Area Elective II-8Elective
BGT2100Internet Programming I3+0+04Elective
BGT2110Cloud Computing3+0+04Elective
BGT2120Industry Data Communication Protocols3+0+04Elective
BPP2100Image Process3+0+04Elective
BPP2110Parallel and Distributed Programming3+0+04Elective
BPP2120Software Development3+0+04Elective
BTP2100Special Topics in Database Systems3+0+04Elective
BTP2110Programmable Controllers3+0+04Elective
BTP2120Microcontrollers3+0+04Elective
BTP2130Discrete Mathematics3+0+04Elective
BVA2120Natural Language Processing3+0+04Elective
ELN2004Business Management / Quality Assurance and Standards3+0+04Elective
MYS2XX1Vocational School Elective I-4Elective
HLÜ0010Scientific Research Methods1+2+04Elective
HLÜ0020Vocational Ethics2+0+04Elective
MYO0130Vocational English3+0+04Elective
MYO0500Gender in Working Life3+0+04Elective
MYO0510Diction and Speech2+0+04Elective
MYO0520World Cuisine2+0+04Elective
MYO0530Visual Perception and Aesthetics2+0+04Elective
MYO0540Sign Language2+0+04Elective
MYO0550Sectoral Broadcasting and Media3+0+04Elective
MYO0560Brand Management2+0+04Elective
MYO0570Project Management2+0+04Elective
MYO0580City and Culture2+0+04Elective
MYO0590Mathematics Literacy and Fundemental Calculation Skills1+3+04Elective
MYO0600Marketing3+0+04Elective
MYO0610E-commerce3+0+04Elective
MYO0620Contemporary Art and Critical Perspective2+0+04Elective
MYO0630Introduction to Psychology2+0+04Elective
MYO0640First aid2+0+04Elective
MYO0650Effective Communication and Etiquette2+0+04Elective
MYO0660Digital Storytelling2+0+04Elective
MYO0670World Culinary Cultures2+0+04Elective
MYO0680Introduction to Theater2+0+04Elective
MYO0690Art Therapy and Creativity2+0+04Elective
MYO0700Behavioral Economics2+0+04Elective
MYO0710Historical Buildings and Features2+0+04Elective
MYO0720Behavioral Sciences3+0+04Elective
MYO0730Physiotherapy in Industry2+0+04Elective
MYO0740Community Based Education and Social Responsibility2+0+04Elective
MYO0750Traditional Children's Games2+0+04Elective
MYO0760Digital Literacy2+0+04Elective
MYO0770Introduction to Political Science3+0+04Elective
MYO0780Globalization and Migration3+0+04Elective
MYO0790Democracy and Human Rights3+0+04Elective
MYO0800Artificial Intelligence and Society3+0+04Elective
MYO0810Work and Society3+0+04Elective

4.Semester Course Plan

Ders KoduDers AdıT+U+LAKTSDers Türü
BVA2002Applied Data Analysis2+2+05Compulsory
BVA2004Cloud Computing Architectures2+2+05Compulsory
MYO2000Professional Ethics0+4+06Compulsory
OZD0130Career Planning2+0+02Compulsory
AİS2XX2Area Elective-8Elective
BGT2140Introduction to Cyber ??Security with Applications3+0+04Elective
BGT2150Internet Programming II3+0+04Elective
BGT2160Introduction to Android Programming3+0+04Elective
BGT2170Software Verification and Validation3+0+04Elective
BPP2140Robotic Modeling and Control3+0+04Elective
BPP2150Advanced Computer Programming Applications3+0+04Elective
BPP2160System Analysis and Design3+0+04Elective
BPP2170Game Programming3+0+04Elective
BTP2140Fundamentals of Programming with Matlab3+0+04Elective
BTP2150Microprocessors3+0+04Elective
BTP2160Human Computer Interaction3+0+04Elective
BTP2170Database Design and Management II3+0+04Elective
BVA2100Data Retrieval and Validation3+0+04Elective
BVA2110Medical Data Mining3+0+04Elective
MYS2XX2Vocational School Elective I-4Elective
HLÜ0010Scientific Research Methods1+2+04Elective
HLÜ0020Vocational Ethics2+0+04Elective
MYO0130Vocational English3+0+04Elective
MYO0500Gender in Working Life3+0+04Elective
MYO0510Diction and Speech2+0+04Elective
MYO0520World Cuisine2+0+04Elective
MYO0530Visual Perception and Aesthetics2+0+04Elective
MYO0540Sign Language2+0+04Elective
MYO0550Sectoral Broadcasting and Media3+0+04Elective
MYO0560Brand Management2+0+04Elective
MYO0570Project Management2+0+04Elective
MYO0580City and Culture2+0+04Elective
MYO0590Mathematics Literacy and Fundemental Calculation Skills1+3+04Elective
MYO0600Marketing3+0+04Elective
MYO0610E-commerce3+0+04Elective
MYO0620Contemporary Art and Critical Perspective2+0+04Elective
MYO0630Introduction to Psychology2+0+04Elective
MYO0640First aid2+0+04Elective
MYO0650Effective Communication and Etiquette2+0+04Elective
MYO0660Digital Storytelling2+0+04Elective
MYO0670World Culinary Cultures2+0+04Elective
MYO0680Introduction to Theater2+0+04Elective
MYO0690Art Therapy and Creativity2+0+04Elective
MYO0700Behavioral Economics2+0+04Elective
MYO0710Historical Buildings and Features2+0+04Elective
MYO0720Behavioral Sciences3+0+04Elective
MYO0730Physiotherapy in Industry2+0+04Elective
MYO0740Community Based Education and Social Responsibility2+0+04Elective
MYO0750Traditional Children's Games2+0+04Elective
MYO0760Digital Literacy2+0+04Elective
MYO0770Introduction to Political Science3+0+04Elective
MYO0780Globalization and Migration3+0+04Elective
MYO0790Democracy and Human Rights3+0+04Elective
MYO0800Artificial Intelligence and Society3+0+04Elective
MYO0810Work and Society3+0+04Elective
Students become eligible for graduation upon successfully completing all compulsory and elective courses in the curriculum, achieving a minimum cumulative grade point average of 2.00, and fulfilling the requirement of 120 ECTS credits.
1.Data Analyst – Collects, cleans, and reports data.
2.Big Data Analyst – Works with large data sets, performs analyses on platforms such as Hadoop and Spark, and identifies trends.
3.Data Scientist – Develops advanced statistical and machine learning models.
4.Business Intelligence Specialist – Monitors the company’s key performance indicators (KPIs).
5.Machine Learning Engineer (for those with a more technical orientation) – Implements predictive systems for real-world use.
6.Data Engineer (for those focused on infrastructure) – Builds the infrastructure where data is stored and processed.
At the beginning of the semester, students who register for a course must attend at least 70% of theoretical classes and 80% of practical classes to be eligible to take the end-of-term exam. Students are required to take at least one midterm exam and a final exam for each course. The contribution of the midterm (which may include scores from assignments, lab exams, quizzes, or other assessment tools) to the overall grade is 40%, while the final exam contributes 60%. All exams are graded on a 100-point scale. Students who receive one of the letter grades AA, BA, BB, CB, or CC are considered to have passed the course. Grades DC and DD are considered conditional passing grades.

The calculation of students’ overall grades may use either a relative (curved) or absolute grading system. The decision on which grading system will be used is made by the relevant administrative board before the start of the academic year. The conversion table prepared by YÖK (Council of Higher Education) is used for translating between the 4.0 scale and the 100-point scale.