This Data Science bachelor’s course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation.
Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are designed with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning.
The specialist nature of this course will allow you to explore and experience advanced techniques in data science and data analytics. You’ll acquire practical skills, often first-hand from an external organisation, which will prepare you for your future as a data scientist.
Course Details - Modules
First year:
Introduction to Information Systems;
Fundamentals of Computing;
Programming;
Logic and Mathematical Techniques;
Data Analysis and Financial Maths
Second year:
Professional Issues, Ethics and Computer Law;
Databases;
Data Science for Business;
Data Engineering;
Programming with Data;
Data Analytics;
Statistical Methods and Modelling Markets
Third year:
Project;
Artificial Intelligence and Machine Learning;
Big Data and Visualisation;
Work-Related Learning;
Advanced Database Management Systems;
Financial Modelling and Forecasting;
Formal Specification and Software Implementation;
Cryptography and Number Theory;
Academic Independent Study;
Ethical Hacking;
Artificial Intelligence
Course Details – Assessment Method
You’ll be assessed by a variety of methods throughout your studies. Module assessment typically consists of a combination of assessment methods including:
coursework;
in-class tests;
exams
Course Details – Professional Bodies
Professional Bodies are not listed for this Course.
How to Apply
26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application Codes
Course code:
D300
Institution code:
L68
Campus Name:
Holloway
Campus code:
Points of Entry
The following entry points are available for this course:
Year 1
Entry Requirements for Advanced Entry (Year 2 and Beyond)
Entry Requirements for Advanced Entry are not listed for this Course.
International applicants
Standard Qualification Requirements
In addition to the University's standard entry requirements, you should have:
a minimum grade C in three A levels (or a minimum of 96 UCAS points from an equivalent Level 3 qualification, eg BTEC Level 3 Extended Diploma, Advanced Diploma, Progression Diploma or Access to Higher Education Diploma of 60 Credits);
English language and Mathematics GCSEs at grade C/4 or above (or equivalent)
Applicants with relevant professional qualifications or extensive professional experience will also be considered.
If you don’t have traditional qualifications or can’t meet the entry requirements for this undergraduate degree, you may still be able to gain entry to the four-year Data Science (including foundation year) BSc programme.
Please click the following link to find out more about qualification requirements for this course
Minimum Qualification Requirements
Minimum Further Information are not listed for this Course.
English language requirements
Test
Grade
AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.
Unistats information
Student satisfaction :
0%
Employment after 15 months (Most common jobs):
0%
Go onto work and study:
0%
Fees and funding
England
2310.0
Module
Northern Ireland
2310.0
Module
Scotland
2310.0
Module
Wales
2310.0
Module
EU
3894.0
Module
International
3894.0
Module
Channel Islands
3894.0
Module
Republic of Ireland
3894.0
Module
Additional Fee Information
These fees are for the 2022/23 academic year. Fees for new and returning students may change each year by an amount set under the government’s regulation. For further information about our undergraduate fees, please visit: https://www.londonmet.ac.uk/applying/funding-your-studies/undergraduate-tuition-fees/
Please note, in addition to the tuition fee there may be extra costs for things such as equipment, materials, printing, textbooks, trips or professional body fees. There may also be other activities that are not formally part of your course and not required to complete your course, but that you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
Provider information
Admissions Office
166-220 Holloway Road
Address3 are not listed for this Course.
City of London
N7 8DB
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