Data Science and Analytics Concentration Program
Overview / نظرة عامة
This interdisciplinary program focuses on the analysis and handling of data from multiple sources and for various applications in order to draw inferences from it, combining topics from mathematics, statistics, and computer science. These topics include probability theory, inference, least-square estimation, maximum likelihood estimation, finding local and global optimal solutions (gradient descent, genetic algorithms, etc.), and generalized additive models. It also covers machine learning topics such as classification, conditional probability estimation, clustering, and dimensionality reduction (e.g. discriminant factor and principal component analyses), and decision support systems. The program also covers big data analysis, including big data collection, preparation, preprocessing, warehousing, interactive visualization, analysis, scrubbing, mining, management, modeling, and tools such as Hadoop, Map-Reduce, Apache Spark, etc.
يركز هذا التخصص على تحليل ومعالجة البيانات من مصادر متعددة ولتطبيقات متنوعة بهدف استخلاص استنتاجات منها، حيث يجمع بين مواضيع من الرياضيات والإحصاء وعلوم الحاسب. تشمل هذه المواضيع نظرية الاحتمالات، الاستدلال، تقدير المربعات الصغرى، تقدير الاحتمال الأقصى، إيجاد الحلول المثلى المحلية والعالمية (مثل الانحدار التدريجي والخوارزميات الجينية)، والنماذج الإضافية المعممة. كما يغطي مواضيع تعلم الآلة مثل التصنيف، تقدير الاحتمالات المشروطة، التجميع، وتقليل الأبعاد (مثل تحليل العوامل التمييزية وتحليل المكونات الرئيسية)، وأنظمة دعم اتخاذ القرار. بالإضافة إلى ذلك، يتناول البرنامج تحليل البيانات الضخمة بما في ذلك جمعها، إعدادها، معالجتها المسبقة، تخزينها، تصورها التفاعلي، تحليلها، تنظيفها، تنقيبها، إدارتها، نمذجتها، واستخدام أدوات مثل Hadoop و Map-Reduce و Apache Spark وغيرها.
Application for the Concentration Program
Eligibility Criteria
Requirements:
- Minimum GPA of 2.0 is required for all BSc KFUPM students.
- Students with applied major cannot enroll in concentrations.
- Students who completed (79 – 115 hours).
- Students who finished all junior-level courses of the specific majors are eligible to enroll in the concentration after completing the prerequisites.
Timeline:
- Applications open at the end of the first semester of the Junior year ( around November ) till the middle of the following semester ( around February)
- Applications are reviewed at the end of the second semester or early summer.
Hosting Department:
- Mathematics
For more information about concentration programs, visit the general information page.
To apply for the concentration program, please visit the official application page provided by the university.
Offered To:
| Major | Pre/Co-requisites | Notes |
|---|---|---|
| Mathematics (MATH) | STAT 319 and MATH 102 and ICS 104 | - |
| Computer Engineering (COE) | STAT 319 and MATH 102 and ICS 104 | - |
| Information & Computer Science (ICS) | STAT 319 and MATH 102 and ICS 104 | - |
| Industrial & Systems Engineering (ISE) | ISE 205 and MATH 102 and ICS 104 | - |
Courses in the Concentration
| Course | Course Title | Brief Description | Pre-requisites | Instructors | Average GPA | Notes |
|---|---|---|---|---|---|---|
| MATH 405 | Learning from Data | Linear algebra, optimization, estimation, and machine learning applications. | (MATH102 Or MATH106) And (STAT201 Or STAT212 Or STAT319 Or ISE205) And (ICS103 Or ICS104) | Mr. Musawar Malik, Dr. Slim Belhaiza, Dr. Nasir Abbas | - | - |
| STAT 413 | Statistical Modeling | Regression, Bayesian models, GLMs, discriminant analysis, and model selection. | MATH 405 | Dr. Emmanuel Afuecheta, Dr. Ali Duman, Dr. Ilias Ftouhi | ||
| ISE 487 | Predictive Analytics Techniques | Time series analysis, regression, smoothing, ARIMA models, and advanced predictive analytics. | (MATH405 Or ISE315 Or ISE325) And (ICS102 Or ICS103 Or ICS104) | Dr. Anis Elgabli, Dr. Hany Osman, Dr. Serkandursun Dursun, Dr. Waqar Khan, Dr. Syed Mujahid | ||
| ICS 474 | Big Data Analytics | Big data basics, sources, storage, analytics, applications, and impacts. | (MATH101 or MATH106) and (ISE205 or STAT201 or STAT212 or STAT319 or EE315) | Dr. Salahadin Adam Mohammed, Prof. Mufti Mahmud, Dr. Muzammil Behzad |
| Semester | Course 1 | Course 2 |
|---|---|---|
| First Semester (Fall) | MATH 405 | ICS 474 |
| Second Semester (Spring) | STAT 413 | ISE 487 |
Special Benefits
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Hands-on Experience:
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Industry Relevance:
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Additional Courses/ Short Courses/ Professional Certifications Taken or Obtained Through the Program:
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Expos/ Conferences/ Competitions for individuals involved in the program:
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Softwares and Applications Utilized:
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Other Benefits:
Resources
- For courses’ study materials click here
Instructors
| Photo | Name | Courses | Office Number | Telephone | Office Hours | Department | Specialization | Taqeem Post | Coordinator | |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. Slim Belhaiza | MATH 405 | Building 5 Room 203-2 | slimb@kfupm.edu.sa | 966-13-860 1054 | - | Mathematics | Game theory | Taqeem Post |  Program Coordinator |
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| Dr. Nasir Abbas | MATH 405 | Building 5 Room 333 | nasirabbas@kfupm.edu.sa | 966-13-860 4485 | - | Mathematics | Bayesian quality control | Taqeem Post | ||
| Dr. Emmanuel Afuecheta | STAT 413 | Building 5 Room 320 | emmanuel.afuecheta@kfupm.edu.sa | 966-13-860 7630 | - | Mathematics | Distribution Theory | Taqeem Post | ||
| Dr. Muzammil Behzad | ICS 474 | Building 22 Room 324 | muzammil.behzad@kfupm.edu.sa | 966-13-860 3112 | - | Information & Computer Science | Artificial intelligence | Taqeem Post | ||
| Dr. Salahadin Adam Mohammed | ICS 474 | Building 22 Room 314 | adam@kfupm.edu.sa | 966-13-860 1721 | - | Information & Computer Science | Data Analysis | Taqeem Post | ||
| Prof. Mufti Mahmud | ICS 474 | Building 22 Room | mufti.mahmud@kfupm.edu.sa | 966-13-860 3512 | - | Information & Computer Science | Data Analysis | Taqeem Post | ||
| Dr. Syed Mujahid | ISE 487 | Building 22 Room 352 | smujahid@kfupm.edu.sa | 966-13-860 7908 | - | Industrial & Systems Engineering | Mathematical Modeling | Taqeem Post | ||
| Dr. Anis Elgabli | ISE 487 | Building 22 Room 234 | anis.elgabli@kfupm.edu.sa | 966-13-860 1436 | - | Industrial & Systems Engineering | Machine learning | Taqeem Post | ||
| Mr. Musawar Malik | MATH 405 | Building 5 Room 306 | Mmalik@kfupm.edu.sa | 966-13-860 2396 | - | Mathematics | Statistical Estimation | Taqeem Post | ||
| Dr. Ali Duman | STAT 413 | Building 5 Room - | aliduman@kfupm.edu.sa | 966-13-860 - | - | Mathematics | Topological Data Analysis | Taqeem Post | ||
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Dr. Ilias Ftouhi | STAT 413 | Building 5 Room - | 966-13-860 - | - | Mathematics | Numerical analysis | Taqeem Post | ||
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Dr. Waqar Khan | ISE 487 | Building 22 Room - | 966-13-860 - | - | Industrial & Systems Engineering | Predictive Analytics | |||
| Dr. Hany Osman | ISE 487 | Building 22 Room - | 966-13-860 - | - | Industrial & Systems Engineering | Data science | Taqeem Post | |||
| Dr. Serkandursun Dursun | ISE 487 | |||||||||
Miscellaneous Information
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Number of Students in a Single Batch:
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Information about Previous Batches:
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Former/Current Students in the Program Contact Information:
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Interested Companies/ Organizations:
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