Data Analytics with SAS (SAS Base Certification)

Overview

Academic Lead: Dr Sebastian del Bano Rollin

This course will provide students the opportunity to develop an understanding for the SAS programming language in connection with the SAS Base certification. SAS programming is a fourth-generation programming language (4GL) for data access, data transformation, analysis and reporting. This course is centered on hands-on projects to provide students with an industry feel. The range of data examples are general and cover a broad range of subject areas and industries. The course covers the following broad areas: ANOVA (analysis of variance), linear regression, logistic regression, preparing inputs for predictive model performance and measure model performance. This course aims to enhance the predictive and statistical modeling skills of students, giving students the opportunity to build a portfolio of hands-on projects to showcase their job readiness. It is also suitable to those whose work drive data-informed business outcomes. The SAS certificate at the end of the course is a valuable indication of the student's proficiency and would be a useful addition to a student’s CV.

Course aims

The module aims to enhance the predictive and statistical modeling skills of students, giving students the opportunity to build a portfolio of hands-on projects to showcase their job readiness. It is also suitable to those whose work drive data-informed business outcomes. The SAS certificate at the end of the course is a valuable indication of the student's proficiency. 

Teaching and learning

You will be taught through a combination of lecturesand practical demonstrations.

Learning outcomes

You will gain:

• Learn basic usage of the SAS system. How to read and manipulate data
• Learn how to the several statistical tools in SAS to conduct statistical analysis
• Develop an understanding for the SAS programming language in connection with the SAS Base certification
• A holistic and rounded understanding on how statistical techniques provide solutions to real life problems as well as typical mistakes such as over-fitting, p-hacking etc.
• Information expertise will be demonstrated through the assignment element of assessment where students will demonstrate their ability to combine the several techniques learnt

You will be able to:

• Understand the principles of statistical analysis as used in industry
• Understand the concept of analysis of variance in statistical models
• Understand the concept linear and logistic regression within the context of real life applications

Fees

The Queen Mary Summer School costs: £1,900 per session, which includes tuition and social programme. 

We offer a 10% discount to:

• Students and staff from partner institutions
• Alumni
• Current Queen Mary students 

Accommodation

The cost of accommodation is £877 per session. For further information, please visit our accommodation page.

Additional costs and course excursions

There may be additional costs for field trips, such as entry to exhibitions, which will be in the region of £30.
All reading material will be provided online, so it is not necessary to purchase any books.

Please note there is no deposit payment required for the Queen Mary Summer School.

Entry requirements

We welcome Summer School students from around the world. We accept a range of qualifications:

• if your home institution uses the four-point Grade Point Average (GPA) scale, we usually require a 3.0 GPA
• if your home institution uses the letter scale, you will need to have a B+

We welcome international qualifications and we consider every application individually on its academic merit. 

English language requirements

All of our courses are taught and assessed in English. If English isn’t your first language, you must meet one of the following English Language requirements in order to join

• If you hold a degree from a majority English speaking country plus Canada you may use this degree to satisfy the English language requirements for entry, provided the degree was completed no more than 5 years before the start date of the course to which you are applying.
• IELTS, 7 overall or higher
• TOEFL Internet Based Test we require a minimum of 100 (L22; S25; R24; W27)
• China UEE (University Entrance Exam) -  110
• CET 4 – 550 or CET 6 – 490
• PTE Academic 68
• Cambridge Certificate in Advanced English 185 70- grade C (old marking system)
• Applicants with an alternative qualification should check it is equivalent to the above or contact us at summerschool@qmul.ac.uk

How to apply

Have a question? Get in touch - one of the team will be happy to help!