Course
MSC DEGREE PATHWAY-LEVEL 7 DIPLOMA DATA SCIENCE
Course Code
PGD/DS/MSC/TOP-UP
Duration
12 months
Level
Masters Level
Pedagogy
Blended | Online
Data science has critical applications across most today's modern world industries. For example, data is used by farmers for efficient food growth and delivery, by food suppliers to cut down on food waste, and by nonprofit organisations to boost fundraising efforts and predict funding needs. It can improve public health through wearable trackers that motivate individuals to adopt healthier habits and can alert people to potentially critical health issues. Data can also improve diagnostic accuracy, accelerate finding cures for specific diseases, or even stop the spread of a virus.
London School of Business & Entrepreneurship PG Diploma programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations. You will develop and consolidate your fundamental skills in statistics and machine learning before progressing onto specialist subjects which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices.
Pursuing a career in data science is a smart move, not just because it is trendy and pays well, but because data very well may be the pivot point on which the entire economy turns.
Course Code: LSBE/PGD-DEML/MSc/TOP-UP
Awarded by: QUALIFI
Credit Hours: 120
Accredited by: Ofqual (UK Government) Regulated Qualification
Duration: 09-12 Months
Mode of Study: Online/ Live Virtual Sessions/Webinars
Course Assessment: Research Based Assignments
COMPULSORY MODULES
- Machine Learning
- Statistical Inference
- Time Series Analysis
- Exploratory Data Analysis
- Advanced Predictive Modelling
- Contemporary Issues in Business
- Unsupervised Multivariate Methods
- Fundamentals of Predictive Modelling
Course Code: LSBE/PGD-DSC/MSc/TOP-UP
Awarded by: Depending on the University Selection Credit Hours: 60
Duration: 06-09 Months
Mode of Study: Online/Blended Learning
Compulsory Modules:
- Business Research Methods
- Dissertation Project
MSc Top-up Degree Awarding University
- University of Wolverhampton (Subject to admission policy and entry requirements)
Here are some of the leading data science careers you can break into with an advanced degree.
1. Data Scientist
2. Data Engineer
3. Data Analyst
1. Data Scientist
According to the Glassdoor website, an average salary for a Data Scientist ranges from £47,000 - 65,000 per year in the UK.
Typical Job Requirements: Find, clean, and organise data for companies. Data scientists will need to be able to analyse large amounts of complex raw data and processed information to find patterns that will benefit an organisation and help drive strategic business decisions. Compared to data analysts, data scientists are much more technical.
2. Data Engineer
According to the Glassdoor website, the average salary for Data Engineer is £52,281 per year in the London Area.
Typical Job Requirements: Perform batch processing or real-time processing on gathered and stored data. Data engineers are also responsible for building and maintaining data pipelines that create a robust and interconnected data ecosystem within an organisation, making information accessible for data scientists.
3. Data Analyst
According to the Glassdoor website, the average salary for Data Analyst is 36,535 per year in the London Area.
Typical Job Requirements:Transform and manipulate large data sets to suit the desired analysis for companies. For many companies, this role can also include tracking web analytics and analyzing A/B testing. Data analysts also aid in the decision-making process by preparing reports for organisational leaders which effectively communicate trends and insights gleaned from their analysis.
Data science experts are needed in almost every field, from government security to social networking apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. Data science careers are in high demand and this trend will not be slowing down any time soon, if ever.
For entry onto the Level 7 Diploma in Data Science qualification, learners must possess
- A bachelor's degree or UK level 6 diploma or an equivalent overseas qualification
- Mature learners (over 25) with management experience (learners must check with the admissions office regarding this requirement before registration.)
Applicants will also be required to complete the following:
- Provide a CV and Personal Statement
- Provide a copy of original qualification certificates and proof of ID, e.g. Passport
- Applicants will also be invited to attend an online interview
English Language Requirements
If a learner is not from a majority English-speaking country then s/he must provide evidence of English language proficiency at a minimum of IELTS band 6.0. We also accept other standard English tests and qualifications, as long as they meet the minimum requirements of your course. If a learner doesn't meet the English language requirements then s/he can achieve the required level by successfully completing a pre-sessional English course before starting the main course.
To complete the course, students should have access to:
- a laptop or Desktop PC with relevant online learning third-party Softwares, e.g. Zoom or Microsoft Team
- a webcam and headphones
- internet speeds with a minimum bandwidth of 600kbps (up/down), with a recommended speed of 1.5 Mbps (up/down)
Data science experts are needed in virtually every industry. The position of Data Scientist is rapidly becoming a required post for any company that wishes to take full advantage of the data that they collect and utilise. In fact, the five biggest companies such as Google, Amazon, Apple, Microsoft, and Facebook always looking for Data Scientist and Data Analytics experts. However in order to break into these high paying, in-demand roles, an advanced qualification is generally required. The PG Diploma course is designed to give you the skills to step into a career as a Data Scientist in a wide range of industries and companies.