Data Science and Security - Online* (PG Cert)Duration: Up to 12 months (part-time)|Hope Park|Start month: October / January
International students can apply
ABOUT THE COURSE
Big data. Almost every company collects it and now more than ever they want to use it to improve their business processes and effectivity. But they also want to protect it.
Specialists in data science or cyber security are now amongst the highest valued, and paid, IT professionals.
This course will provide a firm grounding in the fundamentals of data analytics, the application of machine learning and artificial intelligence, the use of cloud computing to facilitate data science, and the protection of data using modern cryptographic approaches.
Enhance critical understanding of data science, methodologies and practices with clear references to current research and best practice including:
- Introduce Data Analytics.
- Introduce Artificial Intelligence.
- Cover the use of cloud computing in data science.
- Provide an overview of industry standard approaches to protecting data including synchronous and asynchronous cryptography, approaches to authentication and authorisation, and the protection of data on disc, in flight and at service endpoints.
How to apply
To apply for this course, please use the Postgraduate Online PG Certs Application Form rather than the standard university application form
This Postgraduate Certificate (60 Level 7 Credits) comprises four x 15 credit modules:
Introduction to Data Analytics (15 credits)
This module is about extraction of information from dataset and modelling. We will review the basics of statistics and probability needed in computer science: random numbers, discrete and continuous distributions, Bayesian vs frequentists approaches, etc. Then we will study some of their numerical applications such as data sampling and numerical simulations. We will also discuss data clustering and presentation of data. Finally we will introduce modelling: how to create a model out of numerical data, how to estimate its parameters and how to assess its quality
Introduction to AI (15 credits)
This module will introduce the fundamentals of artificial intelligence using the Python language. You will be introduced to classification using clustering (KNN and k-means), Naive Bayes, decision trees and the fundamentals of neural networks. You will then investigate reinforcement learning algorithms, deep learning and specific architectures including spiking neural networks, recurrent neural networks, and convnets.
Big Data and Cloud Computing (15 credits)
Modern organizations have access to more data than ever before. Until recently most could not use this data effectively to improve their business processes, they were limited by data storage costs. The era of ‘big data’ however has changed this; companies can collect, store, and analyse huge amounts of information in the cloud at affordable cost. This module will cover the fundamentals of cloud computing including; big data tools and platforms, data standardization, OpenShift, Hadoop and Spark, setting up a personal cloud, data mining, and data visualization.
Security and Data Protection (15 credits)
With the increasing use of data for businesses comes increasing responsibility for keeping it safe. This module will introduce the essentials of modern synchronous and asynchronous cryptography, cryptographically secure message authentication, the exchange of cryptographic keys, the protection of data ‘in-flight’ using IPSec and SSL/TLS. We will also look at approaches to authentication and authorisation at programming endpoints, and the practical implementation of security in cloud-based applications.
The normal requirement for entry to a programme of study leading to the award of an Postgraduate Certificate is that an applicant should, as a minimum:
EITHER possess a first class or upper second class honours degree UK University (related subject area);
OR possess a degree from an overseas institution that is judged by the Registrar or Nominee to be equivalent to a first class or upper second class honours degree from a UK University.
An exceptional applicant with a 2nd Class Honours degree may be considered for entry onto a Liverpool Hope award – all such cases are to be approved if the Head of School/Department and the Chair of Academic Committee are satisfied that the applicant has demonstrated, via a sample of academic writing and performance in an interview, the potential to achieve national standards for awards at Level M.
International Entry Requirements
English Requirements: IELTS 6.5, including a minimum of 6.0 in reading and writing, speaking and listening.
Teaching and Research
All modules will be delivered on a part-time basis through fully online learning, including:
• Online discussion forums/chats.
• Reading with guided reading questions.
• Assessment support via email and Zoom.
• Moodle messages via individual tutors.
Assessment for each 15 credit module will be split; 50% online test/exam 50% course work.
UK/EU Tuition Fees
Full fee: £2,000
We offer a number of scholarships and loans to help fund your postgraduate studies. Visit our scholarships pages for more details.
INTERNATIONAL TUITION FEES
Full fee: £3,800
This course is an introduction to the related disciplines of data science and security. Currently both specialities are in high demand in the UK and around the world.
The Royal Society states (2019) that the ‘Demand for workers with specialist data skills like data scientists and data engineers has more than tripled over five years (+231%) …’ whilst ‘ … demand for all types of workers grew by only 36% over the same period’. Data Science jobs typically have attractive starting salaries and salary progression (PayScale).
Similarly, a global information security workforce study suggests that there could be around 100,000 unfilled cybersecurity jobs in the UK by 2022. This is scarcity is supported by above-average salary increases documented in a Robert Walters salary survey in 2018.