Master of Science in Data Science and Analytics draft draft draft
Program start date | Application deadline |
2023-07-01 | - |
2023-10-01 | - |
2024-01-01 | - |
2024-03-01 | - |
2024-07-01 | - |
2024-11-01 | - |
Program Overview
The Master of Science in Data Science and Analytics at Lincoln University College equips graduates with the knowledge and skills to work with large and complex datasets in various fields. The program covers core modules in data mining, data analytical programming, machine learning, big data storage and management, and data visualization. Graduates will be prepared for careers as data scientists, big data analysts, machine learning engineers, and other data-related roles.
Program Outline
Degree Overview:
Description:
The Master of Science in Data Science and Analytics equips graduates with the core analytics knowledge necessary to work with large and complex datasets in various fields. This program caters to both science and technical fields and social, political, and environmental challenges. It aims to develop students' business and communication skills while also providing them with training in crucial technical areas.
Objectives:
- To produce graduates who are:
- Knowledgeable and technically competent in Data Science and Analytics
- Effective team players with strong leadership qualities
- Creative and innovative problem solvers with strong ethical values
- Entrepreneurial and committed to lifelong learning
- To produce graduates who can:
- Successfully perform as a team player, demonstrate strong leadership qualities, and communicate effectively within an organization.
- Creatively and innovatively solve problems related to the field of IT using numerical and technical skills.
- Employ a sustainable approach to tackle Data Science and Analytics-related issues.
- Showcase entrepreneurial skills and lifelong learning commitment. Graduates will gain the expertise to integrate specialized field requirements with Data Science and Analytics for improved data science processes within organizations.
Program Structure:
- Duration: 1 Year 6 Months
- Intakes: March, July, November
Individual Modules:
- Data Mining: This module will introduce students to the concepts and techniques of data mining, including data pre-processing, classification, clustering, and association rule mining.
- Machine Learning for Data Science: This module will cover the fundamental concepts of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
- Big Data Storage and Management: Students will learn how to store and manage large datasets using distributed systems and cloud computing.
Careers:
Career Paths:
- Data Scientist
- Big Data Analyst
- Machine Learning Engineer
- Mining Analyst
- Data Modeler
- Data Architect/Engineer
- Qualitative Analyst
Opportunities:
This program prepares graduates for graduate-level positions in the data-driven environment. With its focus on core knowledge, technical skills, and practical application, graduates will be well-equipped to pursue diverse career opportunities and contribute significantly to their chosen fields.
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 programsUndergraduate:
Bachelor and Diploma programsPre-university:
Foundation programsOpen Distance Learning (ODL):
Undergraduate and Postgraduate programsShort Programs:
Professional Development and Micro-CredentialsPrior 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.
Entry Requirements:
Bachelor's Degree:
- A recognised Bachelor's Degree with a minimum CGPA of 2.75 out of 4.00 or equivalent.
- A minimum of two years of relevant working experience in the field of information technology, data science, engineering, or related fields.
- Candidates with relevant professional qualifications and sufficient working experience may also be considered on a case-by-case basis.
English Language Proficiency:
- Applicants whose medium of instruction at the Bachelor's degree level is not in English must demonstrate English language proficiency equivalent to a minimum score of 6.0 in the IELTS test (or equivalent).
Language Proficiency Requirements:
- Applicants whose medium of instruction at the Bachelor's degree level is not in English must demonstrate English language proficiency equivalent to a minimum score of 6.0 in the IELTS test (or equivalent).
- This requirement ensures that students can successfully participate in lectures, discussions, and coursework conducted in English.
- Applicants are strongly encouraged to submit a personal statement that outlines their academic background, career goals, and reasons for pursuing a Master's degree in Data Science and Analytics.