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Students
Tuition Fee
Start Date
2025-11-01
Medium of studying
On campus
Duration
3 years
Program Facts
Program Details
Degree
Bachelors
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2025-03-01-
2025-07-01-
2025-11-01-
About Program

Program Overview


Bachelor of Information Technology (Honours) (Data Analytics)

Programme Overview

The Bachelor of Information Technology (Honours) (Data Analytics) places a strong emphasis on the growth of analytical abilities in the study of Information technology. The Programme provides core of Information Technology modules complemented with a selection from a wide range of courses that includes the latest advances in IT skills, concepts, and applications such as Parallel Programming, Information Systems Analysis and Design, Web and Network Analytics, Knowledge Management and Data Visualisation.


Duration

Full Time: 3 Years


Intakes

March, July, November


Brochure

Download


Online

Application


Subject Highlights

  • BITDA 6013: Principles of Programming (3 credits)
  • BITDA 6024: Discrete Mathematics and Probability (4 credits)
  • BITDA 6033: English (3 credits)
  • Elective (Choose any one module from the following):
    • MPU 3113: Islamic Civilization and Asian Civilization (3 credits)
    • MPU 3163: Malay Language Communication
  • BITDA 6043: Computer Architecture and Organisation (3 credits)
  • Elective (Choose any one module from the following):
    • MPU 3123: Ethnic Relations (3 credits)
    • MPU 3173: Malaysian Studies
  • BITDA 6053: Computer Networks (3 credits)
  • BITDA 6063: Database Management Systems (3 credits)
  • BITDA 6073: Applied Statistics (3 credits)
  • BITDA 6083: Object Oriented Programming (3 credits)
  • MPU 3342: Malaysian Government and Public Policy (2 credits)
  • BITDA 6094: Data structure and Algorithms (4 credits)
  • BITDA 6104: Information Systems Analysis and Design (4 credits)
  • BITDA 6114: Information Systems Security (4 credits)
  • BITDA 6124: Values & Ethics in profession (3 credits)
  • BITDA 6134: Data Science Principles (4 credits)
  • BITDA 6144: Python for Data Analytics (4 credits)
  • BITDA 6154: Enterprise Architecture (4 credits)
  • BITDA 6164: Human Computer Interaction (4 credits)
  • BITDA 6174: Social Media Analytics (4 credits)
  • BITDA 6184: Web Analytics and Intelligence (4 credits)
  • BITDA 6194: Big Data Analytics (4 credits)
  • BITDA 6203: Project Management (3 credits)
  • MPU 3232: Leadership Skills and Human Relations (2 credits)
  • BITDA 6214: Parallel Computing (4 credits)
  • BITDA 6224: Text Analytics and Sentiment Analysis (4 credits)
  • BITDA 6233: Organizational Behavior (3 credits)
  • BITDA 6244: Business Intelligence Systems (4 credits)
  • BITDA 6254: Optimization for data analytics (4 credits)
  • BITDA 6266: Final year Project (6 credits)
  • BITDA 6276: Industrial Training (6 credits)
  • BITDA 6284: Predictive Analytics and Business Forecasting (4 credits)
  • BITDA 6294: Data Visualization (4 credits)

Entry Requirements

  • Passed Sijil Tinggi Persekolahan Malaysia (STPM) with a full pass in 2 subjects or equivalent with a minimum CGPA of 2.0 and pass the Sijil Pelajaran Malaysia (SPM) or equivalent with a credit in Mathematics; or
  • Passed the Matriculation Programme or Foundation of PPT recognized by the Malaysian Government with a CGPA of 2.0 and credit in Mathematics at SPM level or equivalent; or
  • A Diploma [Level 4, Malaysian Qualifications Framework (MQF)] in Computer Science or Software Engineering or Information Technology or Information Systems or equivalent with a minimum 2.50 and a credit in Mathematics at SPM level or its equivalent;
  • Any other Diploma (Level 4, MQF) in Science and Technology or Business Studies with a minimum CGPA of 2.50 may be admitted, subject to a rigorous internal assessment process and a credit in Mathematics at SPM level or its equivalent;
  • Other equivalent qualifications recognized by the Malaysian Government.

Candidates with CGPA below 2.5 but above 2.0 with a credit in Mathematics at SPM level or its equivalent may be admitted, subject to a rigorous internal assessment process.


Candidate with a credit in Computing related subject at SPM or STPM level or its equivalent mat be given preferential consideration.


English Requirements

International students must have proof of good proficiency in verbal and written English. For example, International English Language Testing System (IELTS) score of 5.0 or its equivalent. If a student does not meet this requirement, HEPs must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.


Career Opportunities

Bachelor of Information Technology (Honours) (Data Analytics) qualifies the students for employment in a variety of big data, statistical, and predictive reporting-related fields in the information technology sector such as:


  • Big data system architect
  • Business intelligence manager/specialist/architecture/consultant
  • Chief data scientist
  • Chief knowledge analyst
  • Chief social media scientist
  • Credit scorecard specialist
  • Customer segmentation specialists

Program Aim

The program Bachelor of Information Technology (Honours) (Data Analytics) will produce professionals who can be able to:


  • Produce knowledgeable and be technically competent in the field of information Technology in line with industry requirement locally and globally.
  • Perform well as a team player, demonstrate good leadership qualities in an organization, and be effective in communication.
  • Solve problems related to the field of IT creatively, innovatively, ethically, using numerical and technical skills, and through sustainable approach to solve Data Analytics related problems.
  • Demonstrate entrepreneurship skills and recognize the need of lifelong learning, as well using a broad range of information, media, and technology applications for successful career advancement.

FAQ

Program Overview

  • What is the aim of the Bachelor of Information Technology (Honours) (Data Analytics)?

The program Bachelor of Information Technology (Honours) (Data Analytics) will produce professionals who can be able to:


  • Produce knowledgeable and be technically competent in the field of information Technology in line with industry requirement locally and globally.
  • Perform well as a team player, demonstrate good leadership qualities in an organization, and be effective in communication.
  • Solve problems related to the field of IT creatively, innovatively, ethically, using numerical and technical skills, and through sustainable approach to solve Data Analytics related problems.
  • Demonstrate entrepreneurship skills and recognize the need of lifelong learning, as well using a broad range of information, media, and technology applications for successful career advancement.
  • What is the duration of the BIT DA?

Full Time: 3 Years


  • What are the intakes for this program?

Intakes: March, July, November


  • What specializations are available?

The Bachelor of Information Technology (Honours) in Data Analytics program at Lincoln University College offers several specializations, including:


  • Big Data Analytics
  • Business Analytics
  • Data Science
  • Cybersecurity

Deferment / Withdrawal

  • What happens if I change my mind after enrolling and wanted to withdraw?

Refund policies vary; it’s best to check with the admissions or finance department.


  • May I differ a semester?

Yes, you can defer a semester at Lincoln University College (LUC), but you must follow the university’s deferral process:


  1. Submit a Formal Request : You need to submit a deferral request to the university, stating the reasons for deferring.
  2. Approval Required : The deferral must be approved by the university administration, and valid reasons such as medical issues, financial difficulties, or personal circumstances may be required.
  3. Duration : The deferral is usually granted for one semester but can vary based on your situation and university policies.
  4. Impact on Visa : For international students, deferring a semester may impact your student visa, so you must check with theVisa and Immigration Office.

Ensure you communicate early with the Student Affairs Office or your academic advisor for guidance on the deferral process.


  • How many semesters can I differ in a raw or during the entire programme?

At Lincoln University College (LUC), you are allowed to defer up to two consecutive semesters in a row, but this may vary depending on your circumstances and program requirements. However, no more than two or three semesters deferment throughout the duration of the program will be allowed.


Extended deferrals may require additional justification and approval from the university administration.


It’s crucial to check with the Student Affairs Office about the impact of deferment on your study progress and visa (if applicable).


Career Prospects

  • What career opportunities are available after graduation?

Bachelor of Information Technology (Honours) (Data Analytics) qualifies the students for employment in a variety of big data, statistical, and predictive reporting-related fields in the information technology sector such as:


  • Big data system architect
  • Business intelligence manager/specialist/architecture/consultant
  • Chief data scientist
  • Chief knowledge analyst
  • Chief social media scientist
  • Credit scorecard specialist
  • Customer segmentation specialists
  • Does the program prepare students for licensure?

The Bachelor of Information Technology (Honours) in Data Analytics program does not specifically prepare students for licensure. However, it equips them with relevant skills and knowledge applicable in various professional contexts, which may support certification opportunities in data analytics and related fields.


  • Are there leadership roles available for graduates?

Yes, graduates of the Bachelor of Information Technology (Honours) in Data Analytics program can pursue leadership roles within various organizations. Here are some potential career paths and leadership opportunities available to graduates:


  1. Data Analytics Manager : Graduates can take on managerial roles where they lead teams of data analysts, guiding them in data-driven decision-making and project execution.
  2. Business Intelligence Analyst/Manager : In this role, graduates can oversee business intelligence initiatives, helping organizations interpret complex data to inform strategic decisions.
  3. Project Manager : Graduates can manage analytics projects, ensuring they align with business goals, are delivered on time, and meet quality standards.
  4. Chief Data Officer (CDO) : With experience and further qualifications, graduates can aspire to executive roles such as CDO, where they oversee data governance, management, and strategy for an organization.
  5. Consulting Roles : Many data analytics graduates move into consulting, providing expert advice on data strategy, analytics implementation, and business transformation to organizations.
  6. Entrepreneurial Opportunities : Graduates may also choose to start their own data analytics firms, offering services in data analysis, predictive modeling, and data visualization to various clients.

Entry Requirements

  • What are the eligibility criteria for admission to the program?
    1. A pass in STPM with a minimum Grade of C (GP 2.00) in any TWO (2) subjects; OR
    2. A pass in STAM with a minimum Grade of in any TWO (2) subjects; OR
    3. A pass in Matriculation or Foundation studies with a minimum CGPA of 2.00; OR
    4. Diploma (Level 4, MQF) 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 equivalent to the SPM level. The reinforcement Mathematics subject must be offered in first semester or before enrolment with unconditional offer.
    OR
    1. Diploma in Computing fields (Level 4, MQF) 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
    2. 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
    3. Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval; OR
    4. Other relevant and equivalent qualifications recognised by the Malaysian Government.

(Candidates can be admitted if their admission qualification contains Mathematics subject (s) equivalent to Mathematics at the SPM level. If it is not equivalent, the reinforcement Mathematics subject equivalent to the SPM level must be offered in first semester or before enrolment with unconditional offer).


  • Can I apply with equivalent qualifications from another country?

Yes, qualifications recognized as equivalent by the Malaysian government are accepted.


  • Is a diploma accepted for entry?
    1. Diploma (Level 4, MQF) in Non-Computing:
      • Must have a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but above 2.50 may be admitted subject to a thorough assessment.
    2. Diploma in Computing Fields (Level 4, MQF):
      • Must have a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but above 2.00 may be admitted subject to a thorough assessment.
    3. Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) in Computing Fields:
      • Must have a minimum CGPA of 2.50 , subject to approval from the Higher Education Provider (HEP) Senate or Academic Board.
    4. Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing Fields:
      • Must have a minimum CGPA of 2.50 , also subject to HEP Senate or Academic Board’s approval.
    5. Other Relevant Qualifications:
      • Other relevant and equivalent qualifications recognized by the Malaysian Government are also accepted.
  • Can I do credit transfer?

Yes, credit transfer is generally possible for the Bachelor of Information Technology (Honours) (Data Analytics) (Internet Technology and Cloud Computing) program at Lincoln University College. Students with relevant prior qualifications or coursework may be eligible to transfer credits, subject to the university’s policies and the approval of the program coordinator.


  • How many credits can I transfer?

You may transfer up to 30% of the credits, depending on how closely your diploma courses align with the Bachelor of Information Technology (Honours) (Data Analytics) (Internet Technology and Cloud Computing) subjects.


  • What are the documents needed for doing this credit transfer?

The documents typically required for a credit transfer application include:


  1. Official Academic Transcripts
  2. Course Syllabi/Descriptions
  3. Diploma Certificate
  4. Identification Documents (A valid ID or passport to verify your identity).
  • How do I apply for a credit transfer?

Before Arrival/ Before Registration:

– Submit your application through the Lincoln University College (LUC) website.


– Upload necessary documents, including your transcript, course outlines, and official certificate.


After Arrival:


– Once registered, apply for credit transfer through the Lincoln Learning System (My LLS).


Follow-Up:


– Contact the relevant faculty to check the status of your application.


  • What is the English language eligibility criteria?

The English language eligibility requirement for the Bachelor of Information Technology (Honours) (Data Analytics) program in LUC includes one of the following:


  1. Malaysian Students :
    • A pass in Sijil Pelajaran Malaysia (SPM) with at least aCredit in English. OR
    • A minimum Band 4 in theMalaysian University English Test (MUET).
  2. International Students :
    • A minimum score of 550 in TOEFL (Test of English as a Foreign Language). OR
    • A minimum score of 6.0 in IELTS (International English Language Testing System) OR

An equivalent qualification accepted by the university.


  • Can I study part-time?

No


  • If I don’t have the required academic qualifications but have experience in the relevant field, am I eligible?

Yes, you are eligible through the APEL (Accreditation of Prior Experiential Learning) pathway, which has been approved by the Malaysian Qualifications Agency (MQA) for Lincoln University College. Your relevant work experience can be assessed and recognized for entry into a bachelor’s program.


  • How does this APEL works?

You have to take APEL assessment, and we will check your working experience if it fits the entry qualification you can join.


Teaching /Learning /Assessment

  • What subjects are covered in the program?

The Bachelor of Information Technology (Honours) in Data Analytics program covers various subjects, including data analytics, statistical analysis, programming, database management, and machine learning. Additionally, it includes topics related to big data technologies and ethical considerations in data handling.


  • What skills will graduates develop?

Graduates of the Bachelor of Information Technology (Honours) in Data Analytics program will develop various skills, including data analysis, statistical reasoning, programming proficiency, database management, and machine learning techniques. They will also gain expertise in big data technologies and ethical data handling practices, preparing them for diverse roles in the tech industry.


  • What technology-related subjects are taught?

The program includes technology-related subjects such as data analytics, programming, database management, machine learning, and big data technologies. These subjects are designed to equip students with the necessary technical skills to succeed in the data analytics field


  • How are students assessed?

Students in the Bachelor of Information Technology (Honours) (Data Analytics) (Internet Technology and Cloud Computing) program are assessed through a combination of coursework, assignments, projects, and examinations. This multi-faceted approach evaluates both theoretical understanding and practical skills.


  • What is the Practical structure like?

The Bachelor of Information Technology (Honours) in Data Analytics program at Lincoln University College typically includes a practical component designed to enhance students’ hands-on experience with data analytics tools and techniques. This practical structure may involve:


  1. Laboratory Sessions : Students work in computer labs using software tools for data analysis and visualization.
  2. Project Work : Collaborative projects that simulate real-world data analytics scenarios, allowing students to apply theoretical knowledge.
  3. Case Studies : Analysis of real datasets to solve specific problems, fostering critical thinking and problem-solving skills.
  • How do I prepare for the Practical?

To effectively prepare for practical sessions in this program, consider the following tips:


  • Familiarize with Tools : Gain a basic understanding of analytical tools such as R, Python, or SQL prior to starting the practicals. Online resources and tutorials can be very helpful.
  • Review Course Material : Regularly go over the theoretical aspects covered in lectures to better understand how they apply to practical scenarios.
  • Engage with Peers : Collaborating with classmates during study sessions can enhance your understanding and provide different perspectives on problem-solving.
  • Can I choose where to do my Industrial Training?

Yes, Regarding industrial training, students typically have the option to choose where to do their training, provided that the organization meets the program’s requirements. Here are some considerations:


Approved Organizations: Ensure that the company or institution you choose is recognized by the university for industrial training.


Relevant Experience: Aim for an organization that aligns with your career goals in data analytics, as this will enhance your learning and future employability.


Consult Academic Advisors: Discuss potential organizations with academic advisors or program coordinators to ensure they fit within the program framework.


  • Are there community service components?

Yes, the program includes Community Service as part of the curriculum.


  • How can I volunteer for community services?

Lincoln encourages participation in community service programs organized by the student affairs office or academic departments.


  • Is there a focus on contemporary education issues?

Yes, courses like Philosophy and Current Issues Course International Student address current challenges.


  • Can I teach globally with the BIT DA certification?

Yes, but additional qualifications may be required depending on the country’s regulations.


  • When can I start the course, and when do I receive the materials?

The course starts in March, July, November, and materials are provided at the start of the academic term.


Attendance

  • Why is regular attendance important for this course?

Regular attendance ensures you stay engaged with the course material, participate in discussions, and better understand the subject. It also helps you keep up with assignments, group work, and any changes in deadlines or course requirements.


  • Will my attendance impact my final grade?

Yes, attendance is often factored into participation marks. Missing too many classes can also affect your understanding of key concepts, leading to lower performance on exams and assignments, which could ultimately impact your final grade.


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Lincoln University College Malaysia


Overview:

Lincoln University College (LUC) is a private institution of higher education located in Petaling Jaya, Malaysia. Established in 2002 as Lincoln College, it was upgraded to Lincoln University College in 2011. LUC is recognized by the Ministry of Higher Education and the Malaysian Qualifications Agency (MQA). It holds a 5-star ranking from the Ministry of Higher Education and is listed among the top nine Malaysian universities in the Times Higher Education (THE) University Impact Rankings 2019. LUC is also an ISO 9001:2015 certified academic institution.


Services Offered:

The provided context does not explicitly list the services offered to students. However, it mentions "Facilities and Services" as a section on the website, suggesting that information about services is available there.


Student Life and Campus Experience:


Key Reasons to Study There:

    High Recognition and Accreditation:

    LUC is recognized by the Ministry of Higher Education and MQA, holding a 5-star ranking and being listed among top Malaysian universities.

    International Affiliations:

    LUC is an associate member of the Association of Indian Universities (AIU), Association of Commonwealth Universities (ACU), and a member of the International Association of Universities (IAU).

    ISO 9001:2015 Certification:

    This certification signifies LUC's commitment to quality management systems.

Academic Programs:

LUC offers a wide range of academic programs, including:

    Postgraduate:

    PhD and Master programs

    Undergraduate:

    Bachelor and Diploma programs

    Pre-university:

    Foundation programs

    Open Distance Learning (ODL):

    Undergraduate and Postgraduate programs

    Short Programs:

    Professional Development and Micro-Credentials

    Prior Learning Assessment Centre (PLACe):

    APEL (A) and APEL (C)

LUC has faculties in various fields, including:

  • Medicine
  • Pharmacy
  • Nursing
  • Dentistry
  • Applied Science
  • Engineering
  • Business & Accountancy
  • Hospitality and Tourism
  • Computer Science And Multimedia
  • Social Science Arts and Humanities
  • American Degree Transfer Programs

Other:

The context mentions that LUC has a strong focus on research and conferences. It also provides links to various online resources for students and staff, including online application systems, learning platforms, and payment options.

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