BSc

BSc (Hons) Data Analytics

Turn data into decisions with statistics and code

Online or on campus

3 years full-time360 creditsEnglish

Overview

Data Analytics at Frontier combines statistical theory with hands-on coding in Python and SQL. You will clean real-world datasets, build dashboards, and interpret findings for business and policy audiences. Modules cover probability, regression, experimental design, and introductory machine learning. Campus seminars use anonymised datasets from public health, finance, and education partners. Communication skills are emphasised — analysts must explain uncertainty, not just produce charts.

Access to Frontier's analytics sandbox includes JupyterHub, Tableau licences, and faculty office hours in the Data Studio.

Who This Program Is For

Students strong in mathematics seeking applied careers
Future analysts in finance, healthcare, or technology
Learners who enjoy storytelling with evidence

Faculty spotlight

Dr. Priya Sharma teaches Statistical Modelling; Professor Daniel Mensah leads the Causal Inference reading group.

How you can study

Study options & delivery

Online pathway· Flexible remote

Complete your BSc (Hons) Data Analytics fully online from anywhere in the world with faculty-led modules and flexible scheduling.

On-campus pathway· £3,800 / $4,800/year

Attend seminars and access facilities in person at Frontier Innovation University.

Apply online →Apply for campus →View fee schedule

What You Will Learn

Clean, analyse, and visualise structured datasets with reproducible notebooks
Apply regression and hypothesis testing to business questions
Build interactive dashboards for non-technical stakeholders
Document limitations and ethical considerations in data projects

Curriculum

Year 1

Code	Course	Credits
DA101	Statistics I Statistics I — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Statistics I Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA102	Programming for Analytics Programming for Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Programming for Analytics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA103	Data Visualisation Data Visualisation — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Data Visualisation Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA104	Business Context for Data Business Context for Data — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Business Context for Data Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20

Year 2

Code	Course	Credits
DA201	Regression & Inference Regression & Inference — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Regression & Inference Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA202	Database & SQL Database & SQL — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Database & SQL Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA203	Machine Learning Foundations Machine Learning Foundations — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Machine Learning Foundations Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA204	Analytics Ethics Analytics Ethics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Analytics Ethics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20

Year 3

Code	Course	Credits
DA301	Advanced Analytics Advanced Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Advanced Analytics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA302	Capstone Analytics Project Capstone Analytics Project — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Capstone Analytics Project Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	40

Code

Course

Credits

DA301

Advanced Analytics

Advanced Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.

Core concepts and frameworks in Advanced Analytics
Theory applied to contemporary organisational cases
Methods, tools, and professional standards
Ethics, risk, and responsible practice
Assessment: coursework, exam, or applied project

DA302

Capstone Analytics Project

Capstone Analytics Project — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.

Core concepts and frameworks in Capstone Analytics Project
Theory applied to contemporary organisational cases
Methods, tools, and professional standards
Ethics, risk, and responsible practice
Assessment: coursework, exam, or applied project

Career Paths

Data Analyst
Business Intelligence Analyst
Market Researcher
Policy Analyst
Analytics Consultant

Program Highlights

Industry datasets from partner NGOs and fintech firms
Tableau and Python certification preparation
Data Studio with peer tutoring programme
Direct pathway to MSc Data Science

Assessment

Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.

Admission requirements

Academic entry

A-levels BBB (or equivalent) in relevant subjects, or an Access to HE Diploma with Merit profile
International Baccalaureate 28 points, or high school diploma with GPA 3.0/4.0 minimum

English language

English proficiency: IELTS 5.5, TOEFL 46, or equivalent (waived for prior English-medium study)

Documents

Personal statement (400—600 words) explaining your academic interests and career goals
One academic reference from a teacher, tutor, or school counsellor

Research & interview

Optional: portfolio or interview for creative and professional programmes

Programme questions

How long is the BSc (Hons) Data Analytics?

The published duration is 3 years full-time. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.

Can I study this from my country?

You may study this award fully online from your country, or — where published — on campus at Frontier. Online study does not require a student visa. Campus study may.

What does it cost?

Online awards at Frontier Innovation University are published at about $600–$900 in total, paid by semester ($200–$400) after you accept an offer. The online application fee is $0. Exam and administrative charges may apply. See Fees for the current table.

What are the entry requirements?

Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.

How is the programme assessed?

Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.

Will this award be recognised where I live?

Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Frontier Innovation University publishes verification pages for certificates. We do not claim automatic equivalence in every country.

How do I apply?

Start an application on this website. Progress is saved from the first step. Admissions: admissions@frontuni.com.

Recognized & Accredited

Loading…