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Turn data into decisions that matter
Online or on campus
Data science sits at the intersection of statistics, computing, and domain expertise. This programme teaches you to frame business questions as analytical problems, wrangle messy real-world datasets, and communicate findings to non-technical audiences. Modules cover Bayesian inference, deep learning, NLP, and MLOps. You will work with public datasets from healthcare, finance, and climate science, building a portfolio that demonstrates end-to-end analytical capability.
Every module uses real datasets — never toy CSVs alone. You will document reproducible notebooks and present to a mock executive panel in the capstone. Mltio partners with public-health NGOs for anonymised analytics projects.
Faculty spotlight
Dr. Priya Sharma, ex-lead data scientist at a global bank, teaches MLOps; Professor Daniel Mensah specialises in causal inference for policy evaluation.
Study online
Every program can be completed fully online with zero tuition fees — study from anywhere in the world.
On-campus study
Prefer to learn at our Minneapolis campus? On-campus delivery includes tuition fees, in-person seminars, and access to university facilities.
| Code | Course | Credits |
|---|---|---|
| DS501 | Statistics & Probability for Data Science Statistics & Probability for Data Science — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS502 | Programming for Analytics (Python/R) Programming for Analytics (Python/R) — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS503 | Data Wrangling & SQL Data Wrangling & SQL — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS504 | Data Visualisation & Storytelling Data Visualisation & Storytelling — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| Code | Course | Credits |
|---|---|---|
| DS505 | Machine Learning Fundamentals Machine Learning Fundamentals — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS506 | Deep Learning & Neural Networks Deep Learning & Neural Networks — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS507 | Natural Language Processing Natural Language Processing — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS508 | Time Series & Forecasting Time Series & Forecasting — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| Code | Course | Credits |
|---|---|---|
| DS601 | MLOps & Production Systems MLOps & Production Systems — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS602 | Big Data Technologies (Spark) Big Data Technologies (Spark) — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS603 | MSc Data Science Capstone MSc Data Science Capstone — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 6 |
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.
The published duration is 24 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
You may study this award fully online from your country, or — where published — on campus at Mltio. Online study does not require a student visa. Campus study may.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
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.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Mltio University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@mltio.com.
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