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علوم الحاسب وتقنية المعلومات · ماجستير

Master of Science in Data Science and Business Analytics ODL Online Degree

جامعة آسيا والمحيط الهادئ للتكنولوجيا والابتكار (APU)

نظرة عامة

تفاصيل البرامج معروضة باللغة الإنجليزية كما توفرها الجامعات.

Embark on a transformative journey with APU University Malaysia Master of Science in Data Science and Business Analytics program. Explore a myriad of invaluable insights and skills, detailed below:

What you will learn in a glance?

Upon completing the Master of Science in Data Science and Business Analytics program, graduates will possess a diverse skill set tailored for success in today's data-driven business landscape. They'll adeptly collect, clean, and analyze large datasets to extract valuable insights, driving strategic decision-making. Additionally, graduates excel in predictive modeling, fostering innovation, and effectively communicate findings to stakeholders. Ethical considerations and regulatory compliance are also emphasized, ensuring responsible data handling. Overall, graduates emerge as versatile professionals capable of driving organizational growth and innovation through strategic data analytics.

Dual Degrees from APU and DMU United Kindom

Students who joined the Master of Science in Data Science and Business Analytics program at APU University Malaysia will have the option to apply for the APU-DMU Dual Degree Scheme. Under this Scheme, students will be able to get 2 Degree Certificates and transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia, and 1 from De Montfort University (DMU), UK. please note this is optional and costs GBP 375 Per year. For more information about this Scheme (Click here)

General Requirements:

• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, or its equivalent qualification as accepted by the Senate.

• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment.

• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and with relevant working experience, subject to a rigorous internal assessment.

​• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and without relevant working experience, subject to passing pre-requisite courses.

المنهج الدراسي

عرض المنهج كاملاً

The programme comprises 4 pre-requisite modules (for non-Computing students), 11 coursework modules and a Capstone Project (2 parts).

PRE-REQUISITE MODULES

(FOR NON-COMPUTING STUDENTS: Duration: 4 months (ODL))

  • Introduction to R-programming
  • Statistics
  • Database for Data Science
  • Programming in Python

CORE MODULES

  • Big Data Analytics & Technologies
  • Data Management
  • Business Intelligence Systems
  • Research Methodology for Capstone Project
  • Applied Machine Learning
  • Data Analytical Programming
  • Multivariate Methods for Data Analysis
  • Capstone Project 1
  • Advanced Business Analytics and Visualisation
  • Capstone Project 2

SPECIALISATION MODULES (CHOOSE 1 PATHWAY ONLY)

Pathway 1 (Business Intelligence):

  • Behavioural Science, Social Media and Marketing Analytics
  • Time Series Forecasting
  • Strategies in Emerging Markets OR Multilevel Data Analysis OR Operational Research and Optimization

Pathway 2 (Data Engineering):

  • Cloud Infrastructure and Services
  • Deep Learning
  • Natural Language Processing OR Building IoT Applications OR Data Protection and Management

شروط القبول

الماجستير: شهادة بكالوريوس في مجال ذي صلة.

عادةً IELTS بدرجة 5.5 أو ما يعادلها (TOEFL / PTE). بعض الجامعات توفر برنامج لغة تحضيري لمن لم يحقق الدرجة.

تختلف الشروط الدقيقة حسب التخصص، وقد تُطلب شهادة لغة إنجليزية مثل IELTS أو ما يعادلها.

الفرص المهنية

  • مطوّر برمجيات
  • محلل أمن سيبراني
  • عالم بيانات
  • مهندس سحابة

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