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Course Overview

The primary aim of the Bachelor of Information Technology (Hons) Data Analytics is to produce graduates with an understanding of the business challenges of an enterprise, and the ability to conceive and manage solutions that are increasingly data-driven.

The Bachelor of Information Technology (Hons) Data Analytics at HELP is industry-oriented. With the high industry demand for business and data analysts, the HELP programme is geared towards imparting the latest data analytics methods and tools, including fundamental and advanced statistical and mathematical principles upon which advanced data analysis techniques are built (machine learning, pattern recognition, data mining, etc.). Our students will be able to consult on, support or develop the technological platforms of an enterprise to achieve competitive advantage, building a career in roles ranging from data and systems analysts to data engineers and data scientists. HELP graduates will be able to independently understand, work through and solve problems that arise in the area of management and IT as well as in interdisciplinary matters in practice.

Curriculum

Year 1

5 CORE COURSES

• Introduction to Information Technology
• Front-End Web Development
• Introduction to Database Systems
• Data Communications and Networking
• Discrete Mathematics

2 SPECIALIZATION COURSES

• Analytics for Decision Making
• Introduction to Programming

Plus 2 Free Electives from IT, Business or Communications degree programmes

Year 2

2 CORE COURSES

• Systems Architecture and Design
• User Experience Design

4 SPECIALIZATION COURSES

• Applications of Data Analytics
• Statistics and Data Visualization
• Enterprise Data Infrastructure
• Advanced Database Systems

Plus 2 Free Electives from IT, Business or Communications degree programmes

Year 3

6 CORE COURSES

• Final Year Project I
• Final Year Project II
• IT Project Management
• Computer Ethics and Cybersecurity
• Business Development Project
• Industrial Internship

2 SPECIALIZATION COURSES

• Big Data Technologies
• Data Mining and Machine Learning

MPU

5 COMPULSORY MPU COURSES

MPU1 (CHOOSE 2 COURSES)

• MPU3113 Hubungan Etnik (Malaysian students)
• MPU3123 Tamadun Islam dan Tamadun Asia (Malaysian students)
• MPU3143 Bahasa Melayu Komunikasi 2 (International students)
• MPU3173 Pengajian Malaysia 3 (International students)

MPU2 (CHOOSE 1)

• MPU3213 Bahasa Kebangsaan A (for Malaysian students without a credit in SPM Bahasa Melayu)
• MPU3233 Leadership in Business

MPU3 (CHOOSE 1)

• MPU3313 Comparative Ethics for Malaysia
• MPU3323 Malaysian Constitution
• MPU3353 Personal Financial Planning in Malaysia
• MPU3363 Issues of the Social Media on Malaysian Society
• MPU3343 Career Pathway in the field of Behavioral Sciences in Malaysia

MPU4 (CHOOSE 1)

• MPU3412 Co-curriculum – Sport 2
• MPU3422 Co-curriculum – Community Service 2
• MPU3432 Co-curriculum – Event Management 2

Entry Requirements

Entry Requirements

1. A pass in STPM with a minimum grade of C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification and a credit in Mathematics at SPM level or its equivalent; OR
2. A pass in STAM with a minimum grade of Jayyid in any TWO (2) subjects (including a credit in Mathematics at SPM level or its equivalent); OR
3. A pass in Matriculation or Foundation studies with a minimum CGPA of 2.00 and a credit in Mathematics at SPM level or its equivalent; OR
4. Diploma in Computing (Level 4, MQF) or equivalent with a minimum CGPA of 2.50; OR
5. Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75; OR
6. Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval; OR
7. Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval;

Notes:

• Candidates for categories (iv) until (vii) with a CGPA below 2.75 but more than 2.00 may be admitted subject to a thorough internal evaluation process.

Career Prospects

• Data Analyst
• Business Analyst
• Financial Analyst
• Operations Analyst
• Risk Analyst
• Data Journalist
• Business Intelligence Analyst
• Marketing Analyst

Study Abroad Pathway

Australia & New Zealand (February & July Intake)

• UNIVERSITY OF TECHNOLOGY SYDNEY - Bachelor of Science in Information Technology (Data Analytics) (2+1)
• WESTERN SYDNEY UNIVERSITY - Bachelor of Data Science (1+2)
• MACQUARIE UNIVERSITY: 1? years HELP Bachelor of Information Technology (Hons) / Bachelor of Information Technology (Hons) Data Analytics + 1? years MQ Bachelor of Information Technology, major in Cyber Security, Data Science, Information Systems and Business Analytics, Software Technology, Web and Mobile App Development
• MURDOCH UNIVERSITY: HELP University Bachelor of Information Technology (Hons) Data Analytics into Murdoch University’s B1390 Bachelor of Information Technology (1+2); HELP University Bachelor of Information Technology (Hons) into Murdoch University’s B1390 Bachelor of Information Technology (1+2)