PROGRAMME PROFILE

The Bachelor of Applied Science (Honours) Data Analytics - 2u2i mode (MQA/PA 12425) is developed in line with UMP's vision, mission and educational goals to be a distinguished Technological University. The three and half year programme (2.5 years in university and 1 year in industry) is designed to produce highly skilled and competent graduates in the field of Data Science who are capable to gain insights of the data and make effective decisions using Data Science and Analytics skills. Data Science is a new exponentially growing field that consists of a set of tools and techniques, and requires an integrated skill set from statistics, mathematics, computer science and the use of current technology in computer software or programming language. The Data Science elements are part of the main pillars of the Fourth Industrial Revolution (IR 4.0). The Industrial Revolution gives birth to new emerging technologies which includes automation, digitilasation and artificial intelligence that bring forward new challenges in data science with the discovery of information from large volumes of data.
 
This programme offers industry-relevant curriculum comprises of 120 total credit hours, which includes University Courses, Faculty Courses, Core Programme Courses, Elective Courses, Data Science Projects and one year of industrial Training/Internship trough Work Based Learning (WBL) approach. Students will undergo WBL in selected industry through Block Release structure in Semester 6 and 7 after they have completed all the courses from semester 1 to 5. Students will learn the architecture of Data Science and Analytics system through eight core areas of competencies including;
  • Mathematical Skills
  • Programming Skills
  • Data Preparation and Data Visualization Skills
  • Statistical Modelling Skills
  • Machine learning Algorithms Skills
  • Advanced Analytical Skills
  • Managerial Skills
  • Research and Practical Skills
Students will be equipped with an in-depth knowledge of Data Science and Analytics to become an expert analyst who will use the latest data management and analytics tools such as R, Python, Tableau, Minitab, and SAS. They will learn how to apply this expertise in the real world through final year project and internship program in any related industry in order to prepare for an exciting career ahead. Data Science and Analytics knowledge and tools are vital for the sustainability of science and technology advancement.
COLLABORATIVE INDUSTRIAL PARTNERSHIP
For this programme, Centre for Mathematical Sciences (PSM), Universiti Malaysia Pahang (UMP) has approached various industries which has potential to be appointed as the 2u2i Strategic Industry Partner. The Strategic Industry Partner will accept the students of Bachelor of Applied Science (Honours) Data Analytics to experience Work Based Learning (WBL) at their company.
  • Telekom Malaysia
  • Petronas Gas Berhad
  • Neu Zenith
  • Abyres Sdn Bhd
  • Malaysia Digital Economy Corporation
  • Talent Corporation Malaysia Sdn Bhd
  • Department of Statistics Malaysia
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Data analyst plays an important role in deriving value and seeking patterns from data to assist organisations in the development of their predictive capabilities. A data analyst collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses, and organizations make better decisions.

A digital data analyst will collect, analyze and interpret data through market research, logistics, or other behaviors. This position requires technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help the department make sound decisions.

Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges. Data scientists commonly have a bachelor's degree in statistics, math, computer science, or economics. Data scientists have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.

A statistician gathers numerical data and then displays it, helping companies to make sense of quantitative data and to spot trends and make predictions.

Market research analysts perform research and gather data to help a company market its products or services. They gather data on consumer demographics, preferences, needs, and buying habits. They collect data and information using a variety of methods, such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, and literature reviews. They will analyze data using statistical software.
Create your own job. A data technopreneur identifies a data-based opportunity, converts it into a service, aid in decision making, estimates earnings and profit and builds a successful business with it. 
A programmer creates and modifies computer programs by converting project requirements into code.
ENTRY REQUIREMENTS

DIPLOMA

  • Public University: CPA/PNGK 2.00 OR Private University/Politeknik: CPA/PNGK 2.30
  • Grade B- (2.67) Mathematics in Diploma OR Grade B Mathematics in SPM.


MATRICULATION/FOUNDATION

  • PNGK 2.00
  • Grade B- (2.67) Mathematics/Computer Science OR Grade B Mathematics in SPM.

 
STPM

  • PNGK 2.00
  • Grade C (NGMP 2.00) Pengajian Am AND two (2) other subjects.
  • Grade B- (NGMP 2.67) Mathematics M/Mathematics T OR Grade B Mathematics in SPM.


MUET

Minimum MUET Band 2 for every entry level.

PEO & PLO MAPPING

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CURRICULUM STRUCTURES

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List of Courses by skills

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OFFICIAL BROCHURE

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