Business Analytics 12 months Postgraduate Programme By KFUPM |TopUniversities
Programme Duration

12 monthsProgramme duration

Main Subject Area

Business AnalyticsMain Subject Area

Programme 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.).

Programme 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

1 Year

Scholarships

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Postgrad Programmes 779