Data Science

Bachelor degree
36 months
Application deadlines: April 30
Application fee: £90
Full-time
Intakes: September
International tuition: £15,600
Domestic tuition: £1,820

Program overview

You will study modules chosen from across Computing Science and Mathematics and will be introduced to both data science theory and applications. You'll study subjects at the core of data science including programming, machine learning and statistics. This Data Science degree will introduce you to database principles and applications and teach you cutting edge technology such as Python and NoSQL. You'll learn how to collect, manage and analyse fast moving Big Data for science or commerce. In year 1-3 students need to complete 120 credits comprising of compulsory and optional modules. Whereas in year 4 all modules are compulsory. In year 1 students can take 20 credits worth of ANY available modules in the Autumn and Spring semesters. However, MATU9D1 and CSCU9B2 are recommended. In year 2 students can take 20 credits worth of ANY available modules in the Autumn semester. They choose one module from MATU9M2 and MATU9M4 in the Spring.

Study options

Study options
This program can be done
On campus

Requirements

SQA Advanced Highers: ABBB or equivalents. English language requirements: IELTS 6.0 with 5.5 in each skill Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill Cambridge C2 Proficiency (CPE) 180 overall with a minimum of 162 in each sub-skill Pearson Test of English 54 overall with a minimum of 51 in each component IBT TOEFL 80 with no subtest less than 17 Trinity ISE II Pass overall and Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills

Career opportunities

Organisations are increasingly using and collecting larger amounts of data during their everyday operations. From predicting what people will buy to tackling environmental and organisational issues, your job is to analyse, visualise and interpret large amounts of data to find patterns and help solve the problems faced by businesses in innovative ways. Data Scientists work across a range of areas including finance, health, retail, food, scientific research agriculture etc. Graduates from a data science course find employment as: R&D data scientist digital analytics engineer data engineer data scientist machine learning engineer machine learning data scientist data solution architect machine learning developer data scientist in a research field such as genomic, cognitive, clinical and healthcare

Campus location

Stirling , United Kingdom

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