Master of Science in Data Science (new)May 11, 2023 2023-09-28 8:58
- College Of Engineering & IT
Master of Science in Data Science (new)
Fall & Spring
Full & Part time
Total Credit Hours
Table of Contents
The Master of Science (M.Sc.) in Data Science program is carefully crafted to equip students with the necessary skills and knowledge for a successful career in data analysis, computing, and applied mathematics. This program aims to enhance students’ employability by providing them with a high level of expertise in the field.
Upon completion of the program, graduates will possess the skills required to excel in the public and government sectors, opening up numerous opportunities for career advancement. Additionally, the private sector also offers promising prospects for graduates, as they will have a strong understanding of statistical analysis and automated decision-making processes. This valuable knowledge makes them desirable candidates for businesses, industries, and IT firms.
The M.Sc. degree is awarded upon the successful completion of a minimum of 30 credit hours. The Master of Science (M.Sc.) in data science is broken down into four (4) semesters having 30 CH course (8 courses of which 3 courses are offered each Semester + 1 Master Thesis of 6 CH).The goal of the MSDS program:
- Present the students with techniques to manage complex data sets.
- Presents the students with data scientist skills to model and analyze data using algorithms and data driven computing programs.
- Present the students with data scientist skills to formulate and present analytics solutions that is appropriate to the stakeholders.
|Regular Admission||Conditional Admission|
|Accredited bachelor’s degree in IT or an equivalent degree with a minimum GPA of 3.0||Accredited bachelor’s degree in IT or an equivalent degree with a minimum GPA of 2.50 – 2.99|
|EmSAT 1400 I Academic IELTS 6.0 or TOEFL (PBT 550 or IBT 79 or CBT 213)||EmSAT 1250 or Academic IELTS 5.5 or TOEFL (PBT 530 or IBT 71 or CBT 197)|
Who is the program for?
- Graduates in STEM Fields: Individuals with a bachelor’s degree in mathematics, statistics, computer science, engineering, or other related fields often pursue a data science master’s degree to enhance their skills and gain expertise in data analysis, predictive modeling, and machine learning.
- Working Professionals: Professionals who are already working in fields related to data analysis, business intelligence, or data engineering may opt for a data science master’s degree to advance their careers and acquire specialized skills in data science methodologies, algorithms, and tools.
- Career Changers: Individuals from diverse backgrounds, such as business, economics, social sciences, or even humanities, who are interested in transitioning into a data-driven career can pursue a data science master’s degree to gain the necessary skills and knowledge in data analysis and modeling.
- Researchers and Academics: Individuals interested in research or academia may pursue a data science master’s degree to deepen their understanding of statistical and computational techniques for analyzing and interpreting data, which can be applied in various scientific domains.
- Entrepreneurs and Decision-makers: Professionals who are involved in making data-driven decisions, such as business executives, managers, or entrepreneurs, can benefit from a data science master’s degree to gain a deeper understanding of data analytics, data-driven decision-making, and developing data-driven strategies.
- Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting large and complex datasets to extract meaningful insights and solve business problems. They use statistical techniques, machine learning algorithms, and programming skills to develop models, build predictive analytics solutions, and provide data-driven recommendations.
- Data Analyst: Data analysts focus on analyzing data to identify patterns, trends, and correlations. They work with structured and unstructured data, perform data cleansing and transformation, and generate reports and visualizations to communicate findings to stakeholders. Data analysts may also be involved in designing and implementing data collection methods and databases.
- Machine Learning Engineer: Machine learning engineers develop and deploy machine learning models and algorithms to solve specific business problems. They work on training models, optimizing algorithms, and deploying them into production systems. They need a deep understanding of machine learning techniques, programming skills, and experience with tools and libraries for model development and deployment.
- Business Intelligence Analyst: Business intelligence analysts use data analysis and visualization techniques to provide insights and support decision-making within an organization. They work with various data sources, create dashboards and reports, and collaborate with stakeholders to understand business requirements and identify opportunities for improvement.
- Data Engineer: Data engineers are responsible for designing, building, and maintaining the infrastructure and systems that enable efficient data collection, storage, and processing. They work with big data technologies, develop data pipelines, and ensure data quality and integrity. Data engineers collaborate closely with data scientists and analysts to provide them with reliable and accessible data.
- Data and Analytics Consultant: Data and analytics consultants work with clients from different industries to help them leverage data for strategic decision-making and business growth. They provide expertise in data analysis, develop customized solutions, and offer recommendations on data-driven strategies. Consultants need strong communication and problem-solving skills to work with diverse clients and teams.
- Research Scientist: Data science graduates can pursue careers in research, working in academia or research institutions. They focus on advancing the field of data science, developing new methodologies, and solving complex research problems using data-driven approaches. Research scientists often contribute to academic publications and collaborate with other researchers.
Estimated salary range
- Entry-level Data Analyst or Data Scientist: For individuals with a Master of Science in Data Science and limited experience, the average salary range can be around AED 8,000 to AED 12,000 per month (approximately USD 2,200 to USD 3,300).
- Mid-level Data Scientist or Data Engineer: With a few years of experience, mid-level data scientists or data engineers can expect salaries ranging from AED 12,000 to AED 20,000 per month (approximately USD 3,300 to USD 5,500).
- Senior Data Scientist or Data Science Manager: For professionals with extensive experience and expertise, senior data scientists or data science managers can earn salaries in the range of AED 20,000 to AED 40,000 per month (approximately USD 5,500 to USD 11,000) or more.
|Semester 1||Courses Code||Courses Title||Semester 2||Courses Code||Courses Title|
|1||DS601||Fundamentals of Data Science||2||DS621||Research Methods in Data Science|
|DS602||Statistics & Probability in Data Science||DS620||Data Visualization & Data Representation Techniques|
|DS603||Advanced Database Queries and Data Warehouse in Data Science||DS604||Big Data Management using Hadoop|
|Semester 3||Courses Code||Courses Title||Semester 4||Courses Code||Courses Title|
|3||DSXXX||Electives 1||4||DS629||Data Science Thesis (Continued from Semester 3)|
|DS629||Data Science Thesis|