Data Science - BSc (Hons)

London Metropolitan University

Bachelor's degree

In London

Price on request

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Description

  • Type

    Bachelor's degree

  • Location

    London

  • Duration

    3 Years

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.

Developed with input from industry experts, this course covers all the necessary skills and competencies required to delve deeper into this fascinating field. By the end of the BSc degree, you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data scientists.

Facilities

Location

Start date

London
See map
31 Jewry Street, EC3N 2EY

Start date

On request

About this course

Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are prepared 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.

During your studies you’ll be encouraged to:

apply maths, statistics and science practice
recognise and exploit business opportunities using data science innovation
find a solution to domain-specific problems using data science capability
utilise a range of coding practices
build scalable data products for strategic or operational business and contribute through the product life cycle
use tools such as Spark, Kafka, Hadoop, Oracle, SQL Server, Linux, Apache Airflow, RStudio, Python - Jupyter, Tableau, and D3 technology

This course will prepare you to work in the field of data analytics, data programming, data visualisation, IT data consultation, big data solution designing or data solution development.

This degree award can put you in a position to apply to companies such as Facebook, Mastercard, Amazon, Microsoft or the BBC for roles such as Junior Data Scientist, Data Science Operational Officer or Associate Data Analyst.

This course is also excellent preparation for further study or research.

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.

Accreditation of Prior Learning
Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. Find out more about applying for Accreditation of Prior Learning (APL).

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Subjects

  • Programming
  • Visualisation
  • Data analysis
  • Financial Mathematics
  • Computing
  • Introduction
  • Artificial Intelligence
  • Machine Learning
  • Big Data
  • Project

Course programme

Modular structure

The modules listed below are for the academic year 2021/22 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules include:
  • Data Analysis and Financial Mathematics (core, 30 credits)
  • Fundamentals of Computing (core, 15 credits)
  • Introduction to Information Systems (core, 15 credits)
  • Logic and Mathematical Techniques (core, 30 credits)
  • Programming (core, 30 credits)
Year 2 modules include:
  • Data Analytics (core, 15 credits)
  • Data Engineering (core, 15 credits)
  • Data Science for Business (core, 15 credits)
  • Databases (core, 15 credits)
  • Professional Issues, Ethics and Computer Law (core, 15 credits)
  • Programming with Data (core, 15 credits)
Year 3 modules include:
  • Artificial Intelligence and Machine Learning (core, 15 credits)
  • Big Data and Visualisation (core, 15 credits)
  • Project (core, 30 credits)
  • Academic Independent Study (option, 15 credits)
  • Advanced Database Systems Development (option, 30 credits)
  • Artificial Intelligence (option, 15 credits)
  • Cryptography and Number Theory (option, 15 credits)
  • Ethical Hacking (option, 15 credits)
  • Financial Modelling and Forecasting (option, 30 credits)
  • Formal Specification & Software Implementation (option, 30 credits)
  • Work Related Learning II (option, 15 credits)
Assessment

You’ll be provided with opportunities to develop an understanding of good academic practice, as well as the skills necessary to demonstrate this. In particular, you’ll be encouraged to complete weekly tutorial and workshop exercises as well as periodic formative diagnostic tests to enhance your learning. During tutorial and workshop sessions you’ll receive ongoing support and feedback on your work to promote engagement and provide the basis for tackling the summative assessments.

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
Coursework can include an artifact such as an output of dataset analysis, application of algorithms, data trends or program code in addition to a written report/essay. The volume, timing and nature of assessment will enable you to demonstrate the extent to which you have achieved the intended learning outcomes.

Formative and summative feedback will be provided using a variety of methods and approaches, such as learning technologies and one to one and group presentations of the submitted work at various points throughout the teaching period.

Additional information

UCAS code - D300

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Data Science - BSc (Hons)

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