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This programme is designed to train and produce data scientists who will fill a range of jobs requiring skills in methodical and statistical data analysis and help organisations (e.g., businesses, healthcare providers, financial institutions, industries) make the most of their huge amounts of data. You will develop knowledge insight from a variety of structured and unstructured data, using a range of data analysis methods, processes, algorithms, and systems.
You will take five taught modules covering core areas of data science from principles, computational and statistical methods and techniques to programming in Python and R to advanced databases, Big Data in a cloud computing setting, and machine learning. The sixth module covers transferable skills in project management and research that support your preparation for a Masters Project.
Finally, you will take a major data science project, which will allow you to specialise subject of interest to you (e.g., Business Analytics, Health Analytics, Game Analytics, etc). You will complete practical tasks based on real-life situations, accompanied by critical reflection, and will follow standard professional practice within an organisation/ industry/ business through a data science project.
This course is suited to those who have an undergraduate degree in computing/information sciences, or mathematical and statistical disciplines with applied computing components. Alternatively, those with a considerable computing background in an industrial / business setting are suitable applicants. It is an ideal course for graduates who wish to advance their career by becoming a data scientist.
After successfully completing this programme, you will be well placed to take up a range of roles available in the IT based business world including but not limited to Information and Data Manager, Business Systems Analyst, Enterprise Data Analyst, Data Scientist, Data Engineer, and Data Specialist.
Entry Requirements
English Language Entry Requirements
Some of the choices available are mentioned below:
Residence Halls | Cost per week (GBP) |
---|---|
Trinity Square | 121.03 |
Claude Gibb | 78.96 |
Lovaine Hall | 79.80 |
Glenamara House | 98.00 |
Winn | 119.98 |
Camden Court | 132.25 |
New Bridge Street | 131.95 |
Tuition Fees in USA (1st Year Average) | BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176 |
Average Accomodation & Food Costs in USA | USD 700 to 1000 Per Month |
Entrance Exams in USA | TOEFL: 86 | IELTS: 6.5 | PTE: 60 | GRE: 309 | GMAT: 560 | SAT: 1177 |
Work and Study in USA | Permitted for 20 hours/week with a valid study permit. Know More |
Post Study Work Permit in USA | One to Two Years after graduation depending on the course. |
Cost of Student Visa in USA | USD 160 |
Student Visa in USA | F1 Visa for USA allows you study permit in USA in full time academic courses. Any accredited school, college, university, academic institute, seminary, or conservatory in USA must accept you beforehand to apply for F1 visa in USA. Know More |
Intakes in USA | There are Three Intakes in USA: Fall (August-September), Spring (January) Know More |
Top Job Sectors in USA | Health Care, Education, Construction, Hospitality & Tourism, Business Services, Finance. |
Economy in USA | GDP Growth of 2.1% (Q4 2019), The Larges Economy of the World by Nominal |