Bachelor of Science in Data Analytics
Ajman, United Arab Emirates
DURATION
4 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
AED 1,392 / per credit *
STUDY FORMAT
On-Campus
* total CRHs: 123
Key Summary
Introduction
The mission of the Data Analytics program is to provide quality education in the field of data analytics based on internationally recognized standards for undergraduate programs; produce data analysts who can deploy efficiently data analytics technologies and implement solutions according to market and society needs, particularly in the UAE and Gulf region; and prepare individuals for lifelong learning and research.
Program Education Objectives
Graduates of the Bachelor of Science in Data Analytics program will have the following characteristics within a few years of graduation:
- PEO 1: Utilize their acquired skills and knowledge in data analytics to pursue a rewarding and successful career in the public sector, private sector, or academia locally or globally.
- PEO 2: Act as effective individuals or leaders who can address data analytics-related technical, business, and ethical challenges.
- PEO 3: Engage in life-long learning and professional development through self-study, professional, or graduate studies in data analytics or related fields.
Gallery
Admissions
Curriculum
Graduation Requirements
Students will be eligible for the degree of Bachelor of Science in Data Analytics after completing
- 120 credits hours of coursework, which normally takes eight semesters (not counting summer semesters),
- 3 credit hours for successful completion of 16 weeks of internship (at least 30 contact hours per week).
- The minimum cumulative grade point average of 2 on a scale of 4.
Curriculum Structure and Credit Hours
The Bachelor of Science degree in Data Analytics requires the completion of 120 credit hours of coursework. In addition, the student is required to complete an internship program of 16 weeks (at least 30 contact hours per week) after completing 90 credit hours. This internship experience is equivalent to three credit hours making the total completion requirement 123 credit hours.
Semester 1
- STA114 General Statistics
- INT100 Introductory Programming
- ARB113/ARB116 Arabic Written Expression / Arabic as a Foreign Language
- ENG104 Advanced English Writing
- EMS112 Emiratis Studies
Semester 2
- ISL114 Islamic Culture
- INT101 Calculus for Information Technology
- UEL 1 University Elective 1
- DAT205 Programming for Data Analytics I
- DAT100 Introduction to Data Analytics
Semester 3
- INT202 Discrete Mathematics
- DAT203 Probability Theory and its Applications
- DAT204 Data Engineering
- UEL 2 University Elective 2
- INT201 Object-Oriented Programming
Semester 4
- DAT201 Linear Algebra
- DAT302 Programming for Data Analytics II
- DAT206 Data Visualization
- INT205 Fundamentals of Data Communication and Networking
- INT209 Data Structures
Semester 5
- INT302 Database Management Systems
- INT305 Fundamentals of Software Engineering
- INT301 Operating Systems
- INT303 Fundamentals of Information Security
- UEL 3 University Elective 3
Semester 6
- INN311 Innovation & Entrepreneurship
- DAT401 Data Mining
- DAT305 Statistical Modelling
- AAA### Major Elective 1
- DAT323 Big Data Technologies
Semester 7
- INT430 Artificial Intelligence
- Major Elective II
- DAT405 Machine Learning
- DAT402 Text and Web Mining
- INS402 Business Intelligence
Semester 8
- Major Elective III
- DAT304 Data Analytics Ethics
- UEL 4 University Elective 4
- DAT404 Business and Social Analytics
- DAT403 Data Analytics Capstone Project
Summer Semester
- DAT407 Data Analytics Summer Internship
Program Outcome
The Program Learning Outcomes of the Data Analytics program are based on ABET Student Learning Outcomes. They describe what students know and can do upon completion of the curriculum. Graduates will be able to:
- PLO 1: Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
- PLO 2: Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of data analytics.
- PLO 3: Communicate effectively in a variety of professional contexts.
- PLO 4: Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- PLO 5: Function effectively as a member or leader of a team engaged in activities appropriate to data analytics.
- PLO 6: Apply theory, techniques, and tools throughout the data analysis lifecycle and employ the resulting knowledge to satisfy stakeholders' needs.
Career Opportunities
Graduates of the Data Analytics program will gain deep knowledge of data analytics that positions them as valuable assets for today's global companies. They will be equipped with the required knowledge and skills to undertake a variety of job positions at both managerial and technical levels, such as data analyst, big data engineer, business intelligence analyst, or information management architect. Graduates of the Data Analytics program may also pursue postgraduate study and research.