MSc in Data Science - Enrolling Now for September 2024 intake
Enrolling now for April 2024 intake
Data Science Institute
Summary
Fee discounts and instalment plans available to eligible candidates.
- Tutor is available to students
Add to basket or enquire
Overview
The MSc in Data Science has been designed to develop skills and knowledge in maths, statistics and programming and provide a career path for those who wish to develop their academic, practitioner, research and critical thinking capabilities within the field of data science. As a result, students develop the full set of skills required for data scientists by organisations across multiple industries and sectors globally.
The MSs in Data Science is credit-rated at postgraduate level on the European Qualifications framework and carries 90 ECTS credits.
Qualification
Description
You are provided with highly structured and detailed course content. The full MSc Data Science consists of ten modules covering core skills and knowledge, culminating in a 30 ECTS credit Postgraduate Major Project. The course combines self paced learning with scheduled live online lectures, tutorial support for exam preparation. All students are assigned a supervisor for their major project.
COURSE MODULES:
Exploratory Data Analysis
Programming in Python, R and SQL
Data management
Measures of central tendency and variation
Bivariate relationships
Data visualisation
Statistical Inference
Principles of statistical inference
Parametric tests
Non-parametric tests
Analysis of variance (ANOVA)
Fundamentals of Predictive Modelling
Predictive modelling principles
LInear regression models
Model validation
Python and R packages for predictive modelling
Advanced Predictive Modelling
Logistic regression
models
Survival analysis
Cox regression
Poisson regression
Time Series Analysis
Time Series concepts
Assessing stationarity
ARIMA, ARCH, GARCH modelling
Panel data regression
Unsupervised Multivariate Methods
Principal Component Analysis
Factor Analysis
Multidimensional Scaling
Cluster Analysis
Machine Learning 1
Naive bayes
Support Vector Machines
K nearest neighbours
Machine Learning 2
Decision Tree
Random Forest
Association Rules
Neural Networks
Text Mining and Natural Language processing
Structured and unstructured data
Text mining in R and Python
Natural language processing
Postgraduate Major Project
The Postgraduate Major Project completes the MSc Data Science and students choose a problem from a particular business or social domain. They have the option of working on a real-world problem from their own organisation and work with a mentor in conjunction with their course supervisor.
Students are required to solve a research problem that involves carrying out exploratory data analysis, hypothesis testing, research design and usie a range of classical and/or modern machine learning modelling methods to predict outcomes and provide actionable insights and recommendations. In doing so they will apply technical capabilities together with research skills and critical thinking. A key part of the project is to communicate the output of the student’s research to both technical and non-technical audiences through written, verbal and visual means.
Who is this course for?
- Graduates from numerate disciplines including business and finance, computing, economics, the sciences, social sciences
- Data Analysts looking to move into a data scientist role
- Master’s and PhD graduates and researchers from other disciplines
- Data science professionals looking to confirm and extend their skills
- Experienced managers and leaders seeking to gain insight into data science and its role in business and organisations
- Data science professionals looking to confirm and extend their skills and move into leadership roles
Requirements
- An undergraduate degree or equivalent in any discipline.
- Other professional qualifications at level 6 in a numerate discipline such as accounting, finance, IT, computing.
- Candidates without a degree but with at least two years' relevant experience may also apply
Career path
- Graduates of the MSc in Data Science enhance their employability through the technical, research, critical thinking and communication skills that they develop on the MSc.
Reviews
Currently there are no reviews for this course. Be the first to leave a review.
Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.