| Course Name: | Bachelors of Applied Data Analytics |
| Course Institution: | The University of Adelaide |
| Course Department: | Faculty of Engineering |
| Course Duration: | 36 month(s) |
| Course Fee: | INR 5775000 |
| Course Mode: | Full Time Regular Classroom |
| Course Location(country): | Australia |
| Course Location(city): | Adelaide |
| Course Level: | Bachelors |
The industry of data analytics currently demands professions with not only statistical expertise but also people who can find new solutions in those numbers. The Bachelor of applied data analytics from the University of Adelaide assists students in taking up this role in one of these seven industries:
- Agriculture
- Bioinformatics
- Economics
- Environment
- Geo-sciences
- Physics
- Public health
Program Learning Outcomes
- Students learn to use big-data analytics concerning their chosen fields, equipping them with the skills that employers are looking for.
- Students gain valuable industry exposure through internship opportunities, and it gives them practical experience.
- Students develop skills in statistical inference, including using machine learning.
- Students develop the skills required to design new models to address complex problems.
- Students apply data analysis to build organizational strategies for success in their chosen discipline.
- Students undertake a significant research project in their final year.
Duration
This program has a duration of 3 years full time.
Criteria for admission
FOR AUSTRALIAN STUDENTS
- Recent Secondary Education: Candidates should have completed their secondary education in the last two years. However, candidates who completed their education before the previous two years may be considered based on their academic record if they are exceptional cases.
- Prerequisites: candidates should have completed SACE Stage 2 Mathematical Methods.
- Higher Education Study: Candidates should have completed at least six months of full-time equivalent higher education. The university shall calculate the GPA (Grade Point Average) from separate programs that the candidate has completed. The selection process will take place based on these GPAs.
- Vocational Education and Training (VET) study: The candidate should have completed an AQF Certificate IV or above from a Registered Training Organisation. Candidates with higher levels of the award will be prioritized for admission.
FOR INTERNATIONAL STUDENTS
English Language requirements
Secondary School requirements
The following table states the minimum marks required along with the education board of each country:
Prerequisites: candidates should have completed SACE Stage 2 Mathematical Methods or equivalent.
Degree Structure
The Bachelor of Applied Data Analytics is a 3-year program designed in a well-rounded manner to cater to the current needs of the industry. The table below mentions the subjects taught year-wise.
Along with these, students will also have to choose electives that will be incorporated in all three years.
Students will be doing a research project in their final year.
Duration
The Bachelor of Applied Data Analytics from the University of Adelaide is 36 month(s) full-time regular-classroom course.
Fee
The yearly fee for the Bachelor of Applied Data Analytics from the University of Adelaide is INR 5775000
How to Apply
Applying for the Bachelor of Applied Data Analytics from the University of Adelaide is pretty simple. Candidates just have to fill the application form available on the official website.
Careers
At the end of this program, students become well equipped to make a significant change in organizations in their chosen area of specialization. They are also able to identify opportunities for improvement and growth. They could choose to work in government, consultancies, or large corporations, at home or abroad. They could also end up applying their knowledge to drive decision-making in a venture of their own.
Students who complete this program will have the skills required for the following careers:
- Merchant Banker
- Bioinformatician
- Broker
- Farmer
- Future Trader
- Hedge Fund Manager
- Management Analyst
- Business Analyst
- Business Data Analyst
- Policy Adviser
