Program Overview
La Trobe University's Bachelor of Data Science equips students with the skills to collect, interpret, and analyze data using advanced computing, mathematics, and statistics. The program emphasizes hands-on learning through projects and industry placements, preparing graduates for careers in data science, machine learning, and related fields.
Program Outline
Overview:
The Bachelor of Data Science at La Trobe University is a three-year undergraduate program that equips students with the knowledge and skills to collect, interpret, and analyze data. The program emphasizes the use of advanced concepts in computing, mathematics, and statistics to identify patterns, predict trends, and support strategic decision-making.
- Master the use of statistical and computational tools for data analysis
- Acquire strong communication and problem-solving skills
- Gain practical experience through real-world projects and industry placements
- Prepare for a successful career in the growing field of data science
Description:
- The program covers a range of topics, including machine learning, artificial intelligence, big data analytics, data visualization, statistical modeling, and ethics in data science.
- Students learn to use industry-standard tools such as Python, R, SQL, and Hadoop.
- The program emphasizes hands-on learning through practical projects, case studies, and industry placements.
- Graduates are equipped to work in a variety of industries, including technology, finance, healthcare, marketing, and research.
Outline:
First Year:
- Introduction to Data Science
- Programming for Data Science (Python)
- Statistics for Data Science
- Database Management Systems
- Introduction to Machine Learning
Second Year:
- Data Mining and Predictive Analytics
- Big Data Analytics with Hadoop
- Statistical Modeling and Inference
- Introduction to Artificial Intelligence
- Machine Learning for Data Science
Third Year:
- Deep Learning
- Natural Language Processing
- Data Visualization
- Data Ethics and Privacy
- Data Science Capstone Project
- Optional: Data Science Industry Placement
Note:
The specific course offerings and schedule may vary slightly depending on the academic year.
Assessment:
- Students are assessed through a combination of coursework, examinations, projects, and presentations.
- The program uses a variety of assessment methods to evaluate student learning, including:
- Individual assignments and group projects
- Mid-semester and final examinations
- Oral presentations
- Data analysis and visualization tasks
Teaching:
- The program is taught by experienced faculty with expertise in data science and related fields.
- The teaching methods include:
- Interactive lectures and tutorials
- Practical workshops and hands-on laboratories
- Individual and group consultations
- Guest lectures from industry experts
Careers:
- Graduates of the Bachelor of Data Science are well-prepared for a range of career opportunities in various industries.
- Potential career paths include:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Statistician
- Data Visualizer
- Business Intelligence Analyst
Other:
- La Trobe University has a strong reputation for data science education and research.
- The program is accredited by the Australian Computer Society.
- The program offers a range of scholarships and financial assistance options.
