You are welcome to unlock the power of data with our Master of Data Science Program.
The Master of Data Science (MDatSc) is a comprehensive program designed to provide students with the knowledge, real-world experience, and practical training they need to become skilled data scientists in the rapidly growing disciplines of data science and machine learning. Our program provides a thorough understanding of big data technology, machine learning, and data analytics, preparing you to take on challenging problems in a range of industries, whether you want to change careers or take a different path.
Program Overview
The Master of Data Science (MDatSc) theoretical learning with real-world experience to provide a well-rounded learning experience. The curriculum offers a solid foundation in statistical analysis, programming, and data management while covering advanced topics like deep learning, artificial intelligence, and data ethics.
Curriculum
The curriculum is designed to be both flexible and comprehensive, allowing students to tailor their studies according to their interests and career goals. Core courses cover the essential aspects of data science, while elective courses allow for specialization in areas such as:
Core Courses:
– Data Science Concepts and Machine Learning
– Advanced Data Management
– Big Data and Data Mining
– Neural Networks and Fuzzy Logic
– Statistics and Mathematical Modeling
– Python for Machine Learning
– Professional Practice
– Project Management
– Research Methodology
Career Prospects
Graduates of the Master of Data Science (MDatSc) program are highly valued by employers in a wide range of industries, including technology, finance, healthcare, and government. Data scientists are becoming more and more necessary as companies rely on data-driven decision-making. Some of the potential careers are:
– Data Scientist
– Machine Learning Engineer
– Data Analyst
– Business Intelligence Analyst
– Data Engineer
Join our Master of Data Science (MDatSc) program and take the first step toward becoming a leader in the data-driven world. Applications are accepted on a rolling basis, with start dates available in both the fall and spring semesters.
Programme Code :
|
MDS
|
Programme Category :
|
Post Graduate Programme
|
Conducted by :
|
Department of Electrical and Computer Engineering, Faculty of Engineering Technology
|
Programme Duration :
|
1 Year (Part-time)
|
Discipline(s) / Course(s) :
|
|
Mode of Study:
|
Blended learning/Distance Learning (DL) mode
|
Admission Requirements
- A Bachelor’s degree in Engineering, Science, OR Technology in a Computing field obtained from a recognized university or
- A Bachelor’s degree in any subject area other than mentioned in (a) above, with at least 35% of the total credits of the program being in computing or IT-related subjects, obtained from a recognized university, and a minimum of one-year appropriate experience in a field of computing after graduation or
- Membership of a recognized professional institute relevant to the field of Computing, obtained through an academic route (SLQF 6), and a minimum of one year of appropriate experience after the membership is obtained or
- Any other qualifications and experiences acceptable to the Senate.
AND
- Pass a selection test conducted by the Department of Electrical and Computer Engineering
Accepting Online Applications from:
|
|
Closing Date for Applications :
|
|
Registration date :
|
Local Students
Course Fee –
For more information or to start your application, please visit our web page. You feel free to contact us via mscds@ou.ac.lk or call us at 0701819239
Address :
|
Electrical and Computer Engineering , The Open University, Nawala, Nugegoda.
|
Contact :
|
0701819239 |
Email :
|
(Programme Academic coordinator) mscds@ou.ac.lk
|
Last Updated on 2 weeks