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Business Analytics
KFUPM Main Campus, Dhahran, Saudi Arabia
12 monthsProgram duration
YesScholarships
Business AnalyticsMain Subject Area
Program overview
Main Subject
Business Analytics
Degree
MSci
Study Level
Masters
Study Mode
On Campus
This program is designed to offer highly-demanded advanced skills in data analytics that can be immediately deployed by a wide range of professionals and leaders to progress in their careers in managerial, business, and technical roles. It is applicable to many sectors, including industry, banking, telecom, healthcare, etc. It is also particularly applicable, IT professionals at various levels, who are in big demand due to rapid market growth, who can especially benefit from this program to support both established and emerging applications in e‑government and e-business.
This program provides a solid foundation in the field of data analytics that integrates knowledge and skills from both technical and business perspectives. Topics covered include descriptive and inferential statistics with emphasis on applications in business (distributions, estimation theory, hypothesis testing, multiple regression, nonparametric modeling, etc.), advanced business analytics (market basket analysis, data visualization, decision trees, logistic regression, supervised learning, vector machines, nearest neighbors, neural networks, text mining, etc.), data management, programming essentials of R and Python, management science (e.g. linear programming, duality and sensitivity, transportation and assignment models, goal programming, network optimization), advanced applied regression (multiple regression, residual analysis. polynomial models, etc.) and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.).
Program overview
Main Subject
Business Analytics
Degree
MSci
Study Level
Masters
Study Mode
On Campus
This program is designed to offer highly-demanded advanced skills in data analytics that can be immediately deployed by a wide range of professionals and leaders to progress in their careers in managerial, business, and technical roles. It is applicable to many sectors, including industry, banking, telecom, healthcare, etc. It is also particularly applicable, IT professionals at various levels, who are in big demand due to rapid market growth, who can especially benefit from this program to support both established and emerging applications in e‑government and e-business.
This program provides a solid foundation in the field of data analytics that integrates knowledge and skills from both technical and business perspectives. Topics covered include descriptive and inferential statistics with emphasis on applications in business (distributions, estimation theory, hypothesis testing, multiple regression, nonparametric modeling, etc.), advanced business analytics (market basket analysis, data visualization, decision trees, logistic regression, supervised learning, vector machines, nearest neighbors, neural networks, text mining, etc.), data management, programming essentials of R and Python, management science (e.g. linear programming, duality and sensitivity, transportation and assignment models, goal programming, network optimization), advanced applied regression (multiple regression, residual analysis. polynomial models, etc.) and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.).
Admission requirements
Important Dates
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Bachelor UG
Master PG
PHD
King Fahd University of Petroleum & Minerals (KFUPM) was officially established by Royal Decree on 5 Jumada I, 1383 H. (23 September 1963). The first students were admitted a year later. On 23 September 1964, when 67 young men enrolled in what was then the College of Petroleum & Minerals (CPM). Since that time, the University enrollment has grown to more than 8,000 students. Several significant events have marked the University's growth. In 1971, at the first graduation ceremony, four men received their baccalaureate degrees in engineering. In 1975, the College of Petroleum & Minerals became the University of Petroleum & Minerals, a change both in name and academic status. In 1986, the University was renamed: King Fahd University of Petroleum & Minerals. The successful management of Saudi Arabia's vast petroleum and mineral resources poses a complex and exciting challenge for scientific, technical, and management education in the Kingdom. To meet this challenge, the University has adopted advanced training in the fields of science, engineering, and management as one of its goals in order to promote leadership and service in the Kingdom's petroleum and mineral industries. The University also furthers knowledge through research in these fields.KFUPM is the highest ranked university in Saudi Arabia, with about 8,232 undergraduate and graduate students.Ranking: Recently, as of October 2008, Times Higher Education-QS (THE-QS) World University Rankings (WUR) ranked KFUPM amongst the top 400 universities around the world. Exactly, KFUPM is ranked in 338th position. KFUPM is the first and the only University in the Middle East to ever enter this ranking. The Rankings identified 4 pillars upon which a world-class university can be built, and, as a evaluation, used them as criteria under which indicators have been chosen to rank universities globally. These criteria are: Research Quality, Teaching Quality, Employability of Alumni, and International Outlook.Accreditation: All programs of the engineering colleges were evaluated for "Substantial Equivalency" recognition by the Accreditation Board for Engineering and Technology (ABET) in April 2001. They were found substantially equivalent to similar accredited programs in the United States. The new trends in accreditation criteria have brought outcome assessment to focus. Accrediting agencies such the Accreditation Board for Engineering and Technology (ABET), the Association to Advance Collegiate Schools of Business (ACCSB), the Computer Science Accreditation Board (CSAB) and the National Architectural Accrediting Board (NAAB) require programs or colleges seeking accreditation to have self-assessment. Industry push and competitive job markets have also contributed to the need for continuous program quality improvement that focus on student learning and preparation for professional practice after graduation.
Business and Management (3)
Accounting
Finance
Human Resource Management
Human Resources Management (CX)
Management Information Systems
Marketing
Supply Chain Management (CX)
Engineering and Technology (3)
Aerospace Engineering
Architectural Engineering
Artificial Intelligence and Machine Learning (CX)
Automated Construction Management (CX)
Bioelectronics and Sensors (CX)
Bioengineering
Building and Construction Safety (CX)
Business Analytics (CX)
Chemical Engineering
Civil Engineering
Climate Change Adaptation (CX)
Cloud Computing (CX)
Communication Systems (CX)
Computer Engineering
Computer Networks (CX)
Computer Science
Control and Instrumentation Engineering
Corrosion and Materials Degradation (CX)
Cybersecurity and Blockchain (CX)
Decision Analytics (CX)
Drone Design and Application (CX)
Electrical Engineering
Electrical Engineering and Physics
Electronic Defense Systems (CX)
Energy Efficiency (CX)
Enhanced Oil Recovery (CX)
Environmental Science and Engineering
Hydrogen Mobility (CX)
Industrial and Systems Engineering
Integrated Design
Intelligent Energy Systems Management (CX)
Internet of Things (CX)
Laser and Microwave Sensing (CX)
Materials Science and Engineering
Mechanical Engineering
Mining Science and Engineering
Non-Metallic Materials (CX)
Nuclear Power Engineering (CX)
Petroleum Engineering
Process Safety (CX)
Refining and Petrochemicals (CX)
Renewable Energy and Energy Storage (CX)
Robotics and Autonomous Systems (CX)
Smart and Sustainable Buildings (CX)
Smart and Sustainable Cities
Software Engineering
Thermal Systems (CX)
Unconventional Hydrocarbon Resources (CX)
Waste Management (CX)
Natural Sciences (3)
Actuarial Science and Financial Mathematics
Chemistry
Computational Analytics (CX)
Data Science and Analytics (CX)
Geology
Geophysics
Mathematics
Physics
Polymer Science and Technology (CX)
Quantum Information and Computing (CX)
Business and Management (4)
Business Administration
Business Analytics
Human Resources Management
Nonprofit Management
Supply Chain Management
Engineering and Technology (4)
Aerospace Engineering
Architectural Engineering
Architecture
Artificial Intelligence
Bioengineering
Chemical Engineering
Computer Engineering
Computer Networks
Computer Science
Construction Engineering and Management
Cybersecurity
Electrical Engineering
Engineering Management
Environmental Science and Engineering
Facilities Management
Flow Assurance
High Performance and Cloud Computing
Industrial and Systems Engineering
Intelligent Hydrocarbon Fields
Intelligent Process Control
Intelligent Transportation Engineering
Internet of Things and Embedded Systems
Maintenance and Reliability
Materials Science and Engineering
Mechanical Engineering
Nuclear Engineering
Petrochemical Engineering
Petroleum Engineering
Project Management
Quantum Computing
Reservoir Characterization
Robotics and Autonomous Intelligent Systems
Security and Information Assurance
Smart and Sustainable Cities
Sustainability and Environmental Management
Sustainable and Renewable Energy
Systems and Control Engineering
Telecommunication Engineering
The Intelligent Hydrocarbon Fields
Unconventional Hydrocarbon Energy
Unmanned Aircraft Systems
Water Treatment and Desalination
Wireless Communication Networks
Life Sciences and Medicine (4)
Life Sciences
Natural Sciences (4)
Applied Statistics
Computational Material and Modeling
Data Science and Analytics
Environmental Science
Geology
Geophysics
Industrial Catalysis
Material Science and Engineering
Mathematics
Modeling and Simulation
Physics
Polymer Science and Engineering
Quantitative Finance
Visual Computing
Engineering and Technology (2)
Chemical Engineering
Civil Engineering
Computer Engineering
Computer Science
Electrical Engineering
Industrial and Systems Engineering
Mechanical Engineering
Petroleum Engineering
Systems and Control Engineering
Natural Sciences (2)
Geology
Geophysics
Mathematics
Physics
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