Business Analytics Concentration Program
Overview / نظرة عامة
This interdisciplinary program covers fundamental concepts and tools needed for understanding business analytics in organizations, with focus on data and models to explain the performance of a business and to inform business decisions and actions. Topics include regression methods (least squares, polynomial, parameter estimation, confidence intervals, tests of hypotheses, etc.), data analytics (pre-processing, analytical methods, multi-dimensionality, knowledge discovery, visualization, clustering, forecasting, descriptive analytics, decision support, intelligent systems), and application of these analytics (classification, multi-criteria decision making, neural network, recommender systems, etc.). 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. Students apply these concepts to relevant business examples.
يغطي هذا التخصص المفاهيم الأساسية والأدوات اللازمة لفهم تحليلات الأعمال في المنظمات، مع التركيز على البيانات والنماذج لشرح أداء الأعمال ودعم القرارات والإجراءات التجارية. تشمل المواضيع أساليب الانحدار (المربعات الصغرى، متعدد الحدود، تقدير المعلمات، فواصل الثقة، اختبارات الفرضيات، إلخ)، تحليلات البيانات (المعالجة المسبقة، الأساليب التحليلية، الأبعاد المتعددة، اكتشاف المعرفة، التصور، التجميع، التنبؤ، التحليلات الوصفية، دعم القرار، الأنظمة الذكية)، وتطبيقات هذه التحليلات (التصنيف، اتخاذ القرار متعدد المعايير، الشبكات العصبية، أنظمة التوصيات، إلخ). كما يغطي البرنامج تحليل البيانات الضخمة، بما في ذلك جمع البيانات الضخمة، إعدادها، معالجتها المسبقة، تخزينها، تصورها التفاعلي، تحليلها، تنظيفها، تنقيبها، إدارتها، نمذجتها، واستخدام أدوات مثل Hadoop و Map-Reduce و Apache Spark وغيرها. يقوم الطلاب بتطبيق هذه المفاهيم على أمثلة تجارية ذات صلة.
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:
- Information Systems & Operations Management
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 |
|---|---|---|
| Management Information Systems (MIS) | MATH 106 and (MIS 215 or MIS 250) and (STAT 212 or STAT 214) | - |
| Marketing (MKT) | MATH 106 and (MIS 215 or MIS 250) and (STAT 212 or STAT 214) | - |
| Management (MGT) | MATH 106 and (MIS 215 or MIS 250) and (STAT 212 or STAT 214) | - |
| Finance (FIN) | MATH 106 and (MIS 215 or MIS 250) and (STAT 212 or STAT 214) | - |
| Accounting (ACCT) | MATH 106 and (MIS 215 or MIS 250) and (STAT 212 or STAT 214) |
Courses in the Concentration
| Course | Course Title | Brief Description | Pre-requisites | Instructors | Average GPA | Notes |
|---|---|---|---|---|---|---|
| STAT 310 | Linear Regression | Linear regression, parameter estimation, model checking, and variable selection. | STAT 201 or STAT 212 or STAT 214 or STAT 319 or ISE 315 | Dr. Nasir Abbas, Dr. Emmanuel Afuecheta, Mr. Essam Al-Sawi | - | - |
| MIS 341 | Introduction to Data Analytics | Business data analytics, pre-processing, visualization, and decision support systems. | (MIS 215 or MIS 250) and (STAT 212 or STAT 214) | Dr. Mazen Shawosh | ||
| MIS 442 | Data Analytics Applications | Data science fundamentals, analytics techniques, and business applications. | MIS 341 | Dr. Mazen Shawosh | ||
| 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) | MIS 341 | STAT 310 |
| Second Semester (Spring) | MIS 442 | ICS 474 |
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. Mazen Shawosh | MIS 341 & MIS 442 | Building - Room - | mshawosh@kfupm.edu.sa | 966-13-860 2656 | - | Information Systems & Operations Management | IT Outsourcing, IT Governance, Digital Transformation | Taqeem Post |  Program Coordinator |
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| Dr. Nasir Abbas | STAT 310 | Building 5 Room 333 | nasirabbas@kfupm.edu.sa | 966-13-860 4485 | - | Mathematics | Bayesian quality control | Taqeem Post | ||
| Dr. Emmanuel Afuecheta | STAT 310 | 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 | ||
| Mr. Essam Al-Sawi | STAT 310 | Building 5 Room 310 | alsawies@kfupm.edu.sa | 966-13-860 1887 | - | Mathematics | Ranked Set Sampling (RSS), Moving Extreme Ranked Set Sampling (MERSS) | Taqeem Post | ||
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:
شاركنا تجربتك مع التخصص عبر الإجابة على الأسئلة التالية:
هل ترى أن ما تعلمته في هذا التخصص يتماشى مع أهدافك المهنية؟:
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من برأيك يستفيد من دراسة هذا التخصص؟:
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ما الأمور التي تمنيت أن يغطيها التخصص أو يتم تقديمها بطريقة مختلفة (مثل المنهج، المواضيع، الاختبارات، المشاريع)؟:
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إذا كنت قد تخرجت، هل حصلت على وظيفة بمجال يتعلق بالتخصص المذكور؟ (مع ذكر جهة التوظيف إذا أمكن).
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وبإمكانك ذكر نقاط إضافية :
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