| Program start date | Application deadline |
| 2024-02-01 | - |
| 2024-07-01 | - |
Program Overview
The Bachelor of Mathematical Sciences program at the University of Adelaide equips students with a solid foundation in mathematics, critical thinking, and problem-solving skills. Through a combination of core courses and electives, students develop a comprehensive understanding of mathematical concepts and their applications in various fields. The program emphasizes logical reasoning, analytical skills, and the ability to work independently and collaboratively, preparing graduates for successful careers in industries such as finance, data science, and engineering.
Program Outline
Degree Overview:
Overview:
The Bachelor of Mathematical Sciences program at the University of Adelaide is tailored for individuals with a keen interest in mathematics and its applications. It equips students with a solid foundation in mathematical principles, critical thinking, problem-solving skills, and the ability to analyze and interpret data.
Objectives:
Upon completion of the program, graduates will have developed a comprehensive understanding of mathematical concepts, principles, and theories. They will be proficient in applying mathematical knowledge to solve real-world problems, critically analyze and interpret data, communicate mathematical ideas effectively, and engage in independent research. The program emphasizes the development of logical reasoning, analytical skills, and the ability to work independently and collaboratively.
Outline:
Program Content and Structure:
The program consists of core courses that lay the groundwork for mathematical understanding, followed by elective courses that allow students to specialize in specific areas of interest. Core courses cover topics such as real analysis, multivariable calculus, differential equations, probability, and statistics. Electives provide students with the opportunity to delve into advanced mathematical concepts in areas such as applied mathematics, pure mathematics, and statistics.
Course Schedule:
The program is typically completed over three years of full-time study. In the first year, students take foundational courses in mathematics, statistics, and programming. In the second year, they delve into more advanced topics in mathematics, such as real analysis, multivariable calculus, and differential equations. In the third year, students focus on their chosen major, completing a capstone project that demonstrates their ability to apply mathematical knowledge to a real-world problem.
Individual Modules with Description:
ENG 1002: Programming (Matlab and C)
This module introduces students to the basics of programming using MATLAB and C. Students learn fundamental programming concepts such as variables, data types, control flow, and functions. They also gain experience in developing and debugging simple programs.
MATHS 1011: Mathematics IA
This module covers the fundamentals of calculus, including limits, derivatives, and integrals. Students learn how to apply calculus to solve problems in a variety of contexts.
MATHS 1012: Mathematics IB
This module builds on the concepts learned in MATHS 1011, covering topics such as vectors, matrices, and differential equations. Students learn how to use these concepts to solve problems in physics, engineering, and other fields.
STATS 1005: Statistical Analysis and Modelling I
This module introduces students to the basics of statistics, including data collection, analysis, and interpretation. Students learn how to use statistical methods to draw conclusions from data.
MATHS 2100: Real Analysis II
This module covers advanced topics in real analysis, including sequences, series, and functions. Students learn how to use real analysis to prove mathematical theorems.
MATHS 2101: Multivariable & Complex Calculus II
This module covers advanced topics in multivariable and complex calculus, including vector calculus, partial derivatives, and complex functions. Students learn how to use these concepts to solve problems in physics, engineering, and other fields.
MATHS 2102: Differential Equations II
This module covers advanced topics in differential equations, including numerical methods, partial differential equations, and applications to physical systems. Students learn how to use differential equations to model and solve problems in a variety of contexts.
MATHS 2103: Probability & Statistics II
This module covers advanced topics in probability and statistics, including probability distributions, statistical inference, and Bayesian statistics. Students learn how to use these concepts to solve problems in a variety of contexts.
STATS 2107: Statistical Modelling and Inference II
This module builds on the concepts learned in STATS 1005, covering advanced topics in statistical modelling and inference. Students learn how to use statistical models to represent real-world phenomena and to make inferences from data.
MATHS 3025: Professional Practice III
This module provides students with the opportunity to apply their mathematical knowledge to real-world problems. Students work on a project with a client from industry or academia, under the supervision of a faculty member.
MATHS 3021: Capstone Project in Mathematical Sciences III
This module is the culmination of the program, where students undertake a major research project under the supervision of a faculty member. Students demonstrate their ability to apply their mathematical knowledge to a real-world problem, and to communicate their findings effectively.
Assessment:
Assessment Methods:
Assessment methods vary depending on the course. Typical assessment methods include a combination of:
- Exams
- Quizzes
- Assignments
- Projects
- Presentations
Assessment Criteria:
Assessment criteria are designed to evaluate students' understanding of the course material and their ability to apply mathematical knowledge to solve problems. Typical assessment criteria include:
- Accuracy and completeness of answers
- Clarity and organization of ideas
- Critical thinking and problem-solving skills
- Communication skills
Teaching:
Teaching Methods:
The program is taught using a variety of methods, including:
- Lectures: Lectures provide students with the foundational knowledge and concepts in each course. Lectures are typically delivered by faculty members.
- Tutorials: Tutorials provide students with the opportunity to practice the concepts learned in lectures and to receive feedback from instructors. Tutorials are typically led by teaching assistants or graduate students.
- Labs: Labs provide students with the opportunity to apply the concepts learned in lectures and tutorials to real-world problems. Labs are typically held in computer labs or other specialized facilities.
- Projects: Projects provide students with the opportunity to work on a larger-scale project that requires them to apply their mathematical knowledge and skills to solve a real-world problem. Projects are typically completed over a period of several weeks or months.
Faculty:
The program is taught by a team of experienced and dedicated faculty members who are actively involved in research and teaching. Faculty members are experts in their respective fields and are committed to providing students with a high-quality learning experience.
Unique Approaches:
The program offers several unique approaches to teaching and learning, including:
- The Academy by Deloitte: This program provides students with the opportunity to gain hands-on experience working on real-world projects with Deloitte, one of the world's leading professional services firms. Students are paid for their work and gain valuable experience that can help them to launch their careers.
- Research Opportunities: Students have the opportunity to participate in research projects with faculty members. This provides them with the opportunity to gain hands-on experience in mathematical research and to develop their critical thinking and problem-solving skills.
- International Exchange: Students have the opportunity to study abroad at one of the University of Adelaide's partner universities. This provides them with the opportunity to experience different cultures and to learn about different approaches to mathematics.
Careers:
Potential Career Paths:
Graduates of the Bachelor of Mathematical Sciences program are highly sought after by employers in a variety of industries, including:
- Finance
- Insurance
- Consulting
- Data science
- Software development
- Engineering
- Research
Opportunities and Outcomes:
Graduates of the program are well-prepared for a variety of careers that require strong mathematical skills. They have the knowledge and skills to solve complex problems, analyze data, and communicate their findings effectively. They are also able to work independently and as part of a team.
