Bachelor in Information Technology (Honours) (Data Analytics)
36 monthsProgramme duration
16,657 Tuition Fee/year
Nov-2025Starting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BIT
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Information Technology (Honours) in Data Analytics is a specialized program designed to provide students with a solid foundation in both information technology and data analytics. It combines comprehensive theoretical knowledge with hands-on practical skills, enabling graduates to meet the demands of today’s data-driven economy. This program is a rebranded version of the Bachelor of Information Technology (Honours) in Business Computing, which began its first intake in May 2018. The original program received provisional accreditation from the Malaysian Qualifications Agency (MQA) in 2017, and was subsequently granted full accreditation in 2021.
Students will be exposed to core IT subjects such as programming, database management, networking, and information systems, alongside advanced data analytics modules including statistical analysis, machine learning, big data technologies, and data visualization. Through industry-relevant projects, case studies, and internships, students will gain real-world experience in transforming raw data into actionable insights that drive strategic decision-making. This program emphasizes critical thinking, problem-solving, and analytical skills, while also fostering ethical and responsible use of data. By the time they graduate, students will be equipped to work effectively with modern analytics tools and technologies, ensuring they remain competitive in an ever-evolving digital landscape.
Upon graduation, students will possess the expertise to apply advanced data analytics techniques in extracting actionable insights and optimizing decision-making across various business domains. As data becomes the backbone of modern enterprises, professionals with strong analytical capabilities are increasingly in demand.
Graduates of this program will be well-prepared for careers such as Data Analyst, Business Intelligence Specialist, Data Scientist, Data Engineer, and Consultant, serving industries that include finance, healthcare, retail, technology, and government. The program’s emphasis on analytical thinking, problem-solving, and data-driven project management ensures that graduates not only excel in technical roles but also hold a competitive advantage in a wide range of positions within today’s technology-driven economy.
Students will be exposed to core IT subjects such as programming, database management, networking, and information systems, alongside advanced data analytics modules including statistical analysis, machine learning, big data technologies, and data visualization. Through industry-relevant projects, case studies, and internships, students will gain real-world experience in transforming raw data into actionable insights that drive strategic decision-making. This program emphasizes critical thinking, problem-solving, and analytical skills, while also fostering ethical and responsible use of data. By the time they graduate, students will be equipped to work effectively with modern analytics tools and technologies, ensuring they remain competitive in an ever-evolving digital landscape.
Upon graduation, students will possess the expertise to apply advanced data analytics techniques in extracting actionable insights and optimizing decision-making across various business domains. As data becomes the backbone of modern enterprises, professionals with strong analytical capabilities are increasingly in demand.
Graduates of this program will be well-prepared for careers such as Data Analyst, Business Intelligence Specialist, Data Scientist, Data Engineer, and Consultant, serving industries that include finance, healthcare, retail, technology, and government. The program’s emphasis on analytical thinking, problem-solving, and data-driven project management ensures that graduates not only excel in technical roles but also hold a competitive advantage in a wide range of positions within today’s technology-driven economy.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BIT
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Information Technology (Honours) in Data Analytics is a specialized program designed to provide students with a solid foundation in both information technology and data analytics. It combines comprehensive theoretical knowledge with hands-on practical skills, enabling graduates to meet the demands of today’s data-driven economy. This program is a rebranded version of the Bachelor of Information Technology (Honours) in Business Computing, which began its first intake in May 2018. The original program received provisional accreditation from the Malaysian Qualifications Agency (MQA) in 2017, and was subsequently granted full accreditation in 2021.
Students will be exposed to core IT subjects such as programming, database management, networking, and information systems, alongside advanced data analytics modules including statistical analysis, machine learning, big data technologies, and data visualization. Through industry-relevant projects, case studies, and internships, students will gain real-world experience in transforming raw data into actionable insights that drive strategic decision-making. This program emphasizes critical thinking, problem-solving, and analytical skills, while also fostering ethical and responsible use of data. By the time they graduate, students will be equipped to work effectively with modern analytics tools and technologies, ensuring they remain competitive in an ever-evolving digital landscape.
Upon graduation, students will possess the expertise to apply advanced data analytics techniques in extracting actionable insights and optimizing decision-making across various business domains. As data becomes the backbone of modern enterprises, professionals with strong analytical capabilities are increasingly in demand.
Graduates of this program will be well-prepared for careers such as Data Analyst, Business Intelligence Specialist, Data Scientist, Data Engineer, and Consultant, serving industries that include finance, healthcare, retail, technology, and government. The program’s emphasis on analytical thinking, problem-solving, and data-driven project management ensures that graduates not only excel in technical roles but also hold a competitive advantage in a wide range of positions within today’s technology-driven economy.
Students will be exposed to core IT subjects such as programming, database management, networking, and information systems, alongside advanced data analytics modules including statistical analysis, machine learning, big data technologies, and data visualization. Through industry-relevant projects, case studies, and internships, students will gain real-world experience in transforming raw data into actionable insights that drive strategic decision-making. This program emphasizes critical thinking, problem-solving, and analytical skills, while also fostering ethical and responsible use of data. By the time they graduate, students will be equipped to work effectively with modern analytics tools and technologies, ensuring they remain competitive in an ever-evolving digital landscape.
Upon graduation, students will possess the expertise to apply advanced data analytics techniques in extracting actionable insights and optimizing decision-making across various business domains. As data becomes the backbone of modern enterprises, professionals with strong analytical capabilities are increasingly in demand.
Graduates of this program will be well-prepared for careers such as Data Analyst, Business Intelligence Specialist, Data Scientist, Data Engineer, and Consultant, serving industries that include finance, healthcare, retail, technology, and government. The program’s emphasis on analytical thinking, problem-solving, and data-driven project management ensures that graduates not only excel in technical roles but also hold a competitive advantage in a wide range of positions within today’s technology-driven economy.
Admission Requirements
Minimum Requirement :
Pass STPM with a minimum Grade C (GP 2.00) in any TWO (2) subjects*;
OR
Pass STAM with a minimum Grade of Jayyid in any TWO (2) subjects*;
OR
Pass Matriculation or Foundation studies with a minimum CGPA of 2.00*;
OR
Diploma in Non-Computing with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a thorough rigorous assessment*;
AND a credit in:
• Mathematics at SPM level or its equivalent; OR
• Candidates with a pass in Mathematics at SPM level need to take and pass the reinforcement Mathematics subject that is equivalent to the SPM level. The reinforcement Mathematics subject must be offered in first semester or before enrolment with unconditional offer.
OR
Diploma in Computing fields or equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough rigorous assessment;
OR
Pass DKM / DVM / DLKM in Computing fields with a minimum CGPA of 2.50;
OR
Pass A-Level with minimum Grade D (GP 2.00) in any TWO (2) subjects;
OR
Pass UEC with minimum Grade B in any FIVE (5) subjects including Mathematics;
OR
Pass International Baccalaureate (IB) with at least 24 points;
OR
Other relevant and equivalent qualifications recognised by the Malaysian Government.
English Competency Requirement (International Student):
MUET Band 3.5
OR
CEFR (High B1)
OR
IELTS 5.0
OR
TOEFL 40
OR
PTE 47
OR
ELS 107
OR
CAMBRIDGE ENGLISH 154
Pass STPM with a minimum Grade C (GP 2.00) in any TWO (2) subjects*;
OR
Pass STAM with a minimum Grade of Jayyid in any TWO (2) subjects*;
OR
Pass Matriculation or Foundation studies with a minimum CGPA of 2.00*;
OR
Diploma in Non-Computing with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a thorough rigorous assessment*;
AND a credit in:
• Mathematics at SPM level or its equivalent; OR
• Candidates with a pass in Mathematics at SPM level need to take and pass the reinforcement Mathematics subject that is equivalent to the SPM level. The reinforcement Mathematics subject must be offered in first semester or before enrolment with unconditional offer.
OR
Diploma in Computing fields or equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough rigorous assessment;
OR
Pass DKM / DVM / DLKM in Computing fields with a minimum CGPA of 2.50;
OR
Pass A-Level with minimum Grade D (GP 2.00) in any TWO (2) subjects;
OR
Pass UEC with minimum Grade B in any FIVE (5) subjects including Mathematics;
OR
Pass International Baccalaureate (IB) with at least 24 points;
OR
Other relevant and equivalent qualifications recognised by the Malaysian Government.
English Competency Requirement (International Student):
MUET Band 3.5
OR
CEFR (High B1)
OR
IELTS 5.0
OR
TOEFL 40
OR
PTE 47
OR
ELS 107
OR
CAMBRIDGE ENGLISH 154
3 Years
Nov-2025
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
11,284
International
16,657
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Frequently Asked Questions
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Yes, if there are unavoidable circumstances. Students must register within a maximum period of 2 weeks from the date lectures begin. Students must inform the Registration & Record Unit at the following email address: [email protected]
Yes. If the program is offered in another session within the same year, the student can update their application and obtain a new offer letter. The student can then register according to the date stated in the new offer letter.
The confirmation and registration fees (RM400) will not be refunded if the student wishes to withdraw
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