
Lincoln University
Lincoln University College (LUC) is located in Petaling Jaya, Malaysia, and has been a distinguished institution since its establishment in 2002 as Lincoln College (LC). Later, in 2011, it was upgraded to Lincoln University College. LUC is renowned as a premier private institution of higher education, approved by the Ministry of Higher Education and the Malaysian Qualifications Agency (MQA- National Accreditation Board). It proudly holds a 5 Star ranking from the Ministry of Higher Education, Malaysia in 2017 and 2019, a testament to its exceptional quality in education. LUC is also recognized globally, being listed among the top nine Malaysian universities in the Times Higher Education (THE) University Impact Rankings 2019 (2021). Additionally, the university is ISO 9001:2015 certified, ensuring a high standard of academic excellence. As an associate member of the ‘Association of Indian Universities (AIU)’, the Association of Commonwealth Universities (ACU) in London, and a member of the ‘International Association of Universities (IAU)’ in Paris, LUC is deeply integrated into the international academic community. At Lincoln University College, our dedicated founders and administrators, who have nearly fifty years of experience in higher education, post-secondary education, and language teaching, are committed to fostering student success. Our institution is student-centered and student-directed, emphasizing the belief that education is a fundamental right that empowers individuals to enhance their lives, advance their careers, and achieve personal success.
Yearly Tuition Fees
Other Fees
Course Overview
The Master of Science (Data Science and Analytics) at Lincoln University College equips students with essential skills in data mining, machine learning, big data management, and data visualization, preparing graduates for roles such as Data Scientist, Big Data Analyst, and Machine Learning Engineer.
Program Structure
- Core Modules: Principles and Practices of Data Science and Analytics, Applied Statistics, Data Analytical Programming, Machine Learning for Data Science, Data Visualization and Visual Analytics, Big Data Analytics, Research Methodology for Capstone Project
- Elective Groups: Students choose one specialization:
- Business Analytics: Business Intelligence and Decision Analytics, Social Media Analytics, Predictive Analytics and Business Forecasting
- Data Engineering: Deep Learning, Natural Language Processing, Cloud Infrastructure
- Capstone Project: A comprehensive project integrating learned concepts
Entry Requirements
- Bachelor’s Degree in Computing or related fields with a minimum CGPA of 2.75, or equivalent
- Bachelor’s Degree in Computing or related fields with a CGPA between 2.50 and 2.75, subject to internal assessment
- Bachelor’s Degree in Computing or related fields with a CGPA below 2.50, with a minimum of 5 years relevant work experience
- Other equivalent qualifications recognized by the Malaysian Government
- For candidates without a Computing degree, prerequisite modules in computing are required
- International students must demonstrate English proficiency with an IELTS score of 5.5 or equivalent
Career Opportunities
- Data Scientist
- Big Data Analyst
- Machine Learning Engineer
- Mining Analyst
- Data Modeler
- Data Architect/Engineer
- Qualitative Analyst
Highlights
- Duration: 1 year 6 months (Full Time)
- Intakes: March, July, November
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