Overview
Key Facts
The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters Program from University of Adelaide - AdelaideX to a medium-scale data science project.
Working with organisations and stakeholders of your choice on a real-world dataset, you will further develop your data science skills and knowledge.
This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem.
This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability.
You’ll need to reflect on the nature of your data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management.
By communicating the knowledge, skills and ideas you have gained to other learners through online collaborative technologies, you will learn valuable communication skills, important for any career. You’ll also deliver a written oral presentation of your project design, plan, methodologies, and outcomes.
The Big Data Capstone Project is part of the Big Data MicroMasters Program.
Programme Structure
The Big Data Capstone Project will give you the chance to demonstrate practically what you have learned in the Big Data MicroMasters program including:
- How to evaluate, select and apply data science techniques, principles and theory;
- How to plan and execute a project;
- Work autonomously using your own initiative;
- Identify social and ethical concerns around your project;
- Develop communication skills using online collaborative technologies.
Key information
Duration
- Part-time
- 2 months
- 4 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Information Technology (IT) Computer Sciences Data Science & Big Data View 588 other Short Courses in Data Science & Big Data in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Candidates interested in pursuing this program are advised to complete Programming for Data Science, Computational Thinking and Big Data, Big Data Fundamentals & Big Data Analytics before this course.
Tuition Fee
-
International
249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 2 months. -
National
249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 2 months.
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