MSc. Data Science & Computational Intelligence
Data Science and Computational Intelligence course aims to respond the demand for data scientists with the skill to develop innovative computational intelligence applications, capable of analyzing large amounts of complex data to inform business decisions and market strategies.
Admission Eligibility
Honours degree or equivalent in relevant subjects like Statistics, Mathematics, Computer Science, Physics, Engineering, etc. Alternatively, an unclassified data science degree with relevant field experience is accepted.
English Requirement
The International students with valid IELTS Report Forms with a 6.5 overall band or equivalent are eligible to apply.
MSc Data Science and Computational Intelligence programme is to fulfill the demand for data scientists with the skills to develop innovative computational intelligence applications. A graduate with an MSc Data Science in Nepal can analyze complex data in bulk and help make important business decisions. One with MSc in Data Science degree is capable of building market strategies. The MSc data science and computational intelligence course covers machine learning, big data analysis, neural networks, information retrieval, and evolutionary computation. It provides you with opportunities to undertake practical projects and apply them to solve real-life problems in almost every field including business, marketing, finance, transportation, pharmaceutics, medicine, and management
Affiliated with Coventry University, this MSc data science programme helps you learn alongside active researchers in pervasive computing, distributed computing, and innovative applications for interactive virtual worlds.
Throughout the program, you learn automatic big data processing and information retrieval through cutting-edge machine learning techniques and become capable of analyzing big datasets and performing advanced data mining tasks. You will be introduced to important frameworks including Hadoop Map Reduce, Spark, and NoSQL databases in combination with powerful development tools such as Python, Scala, Matlab, and R.
The overall aim of the MSc Data Science and Computational Intelligence is to:
- Deliver advanced theoretical and practical subjects across a range of specialist areas in data science and computational intelligence which is greatly demanded in a wide range of research and industrial applications.
- Enable students to enhance their analytical, problem-solving, critical communication, and presentation skills in the context of their taught modules and develop the ability to analyze, evaluate, and model complex problems involving large amounts of data.
- Advance the skills and knowledge acquired through previous study and experience in cutting-edge research and technologies and enhance students’ transferable and professional skills and, thereby, their employment prospects.
- Provide specialist skills and in-depth knowledge essential for graduates to develop and adapt to the challenges in the field of data science.
- Enable students to analyze and critique the central and current research problems in MSc data science and computational intelligence.
- Enable students to operate as effective independent researchers and/or consultants in their chosen specialized aspect of the course.
- Enhance the awareness of the professional, legal, ethical, and social issues along with commercial risk and management in the role of a data science professional.
- Enable students to adapt to future changes in technology in data science and computational intelligence areas.
Admission Eligibility:
* An honors degree or an equivalent qualification in a relevant subject such as Statistics, Mathematics, Computer Science, Physics or Engineering, etc.
* An unclassified degree in data science or any other relevant fields plus professional experience within the field of data science.
Fee Structure:
| Particular | Amount (NPR) |
| Admission Fee | 25,000/- |
| University Registration Fee | 1,90,500/- |
| Semester 1 Fee | 1,25,000/- |
| Semester 2 Fee | 1,25,000/- |
| Semester 3 Fee | 1,25,000/- |
| Total Amount | 5,90,500/- |
| Notes: |
| University Registration Fee may vary in the upcoming years as per the university’s policy. University Registration Fees may vary in the upcoming years as per the Nepal government’s tax policy.The University Registration Fee is subject to change as per the prevailing foreign exchange rate set by the commercial bank. |
Career Opportunities
- Data analysis and analytics
- Statistical analysis
- Machine learning algorithms
- Artificial neural networks
- Deep learning
- Big data management systems
- Research skills for advanced data science and computational intelligence
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