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Data Science & Security - ONLINE - PG Cert

Data Science & Security - ONLINE - PG Cert

Different course options

Study mode

Distance without attendance

Duration

12 months

Start date

OCT-21

Key information
DATA SOURCE : IDP Connect

Qualification type

Postgraduate Certificate

Subject areas

Security Informatics Information Security

Course type

Taught

Course Summary

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.

Course aims

Enhance critical understanding of data science, methodologies and practices with clear references to current research and best practice including:

• Data Analytics using the R language.

• Artificial Intelligence using Python.

• The use of cloud computing in data science.

• The development of data pipelines.

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.

Curriculum Overview

This Postgraduate Certificate (60 Level 7 Credits) comprises four x 15 credit modules:

Introduction to Data Analytics using R (15 credits)

We will cover; discrete and Bayesian probability, distributions and sampling, estimation, hypothesis testing, regression and likelihood, data cleaning and data filtering, data clustering, and the presentation of data.

Introduction to AI using Python (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), Naïve 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 end-points, and the practical implementation of security in a cloud based application.

Tuition fees

UK fees
Course fees for UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)

£12,227

Entry requirements

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[7]. International Entry Requirements English Requirements: IELTS 6.5, including a minimum of 6.0 in reading and writing, speaking and listening.

University information

Liverpool Hope University is set across two green campuses: Hope Park, just four miles from Liverpool city centre, and the Creative Campus, close to the city centre. There is also a small residential campus at Aigburth Park. Over the last 10 years, there has been a significant investment in buildings and equipment of over £76 million. Each year over 1,000 postgraduate students choose to study a range of postgraduate taught, research and PGCE...more