Do you want to make solar energy more efficient and live in a sustainable city, or create new technologies in robotics, un-crewed aircraft and wireless internet of things?

This is the degree for you! This elite engineering degree will give you access to an innovative structure that allows you to get involved in many project based research courses in engineering.

You can study the fundamental engineering courses while you are immersed in research groups covering electronics, communications, mechatronics, renewable energy, environmental, and aerospace systems.

This exceptional degree will not only allow you to excel in your career, but to also make a real difference and help to solve some of the world's largest problems.

Statistics opens the door to understanding our world through the exploration of data and the modelling of uncertainty. The need for statistics is growing rapidly as our ability to collect massive amounts of data outruns our ability to understand and use the data we collect. Hal Varian, Chief Economist at Google, declared that “the sexy job in the next ten years will be statisticians”, as the challenge of understanding large, complex data structures mounts. It is estimated that 2.5 exabytes of data is generated every single day, with the accumulated amount of data doubling every 18 months, and that 90% of all data ever gathered was produced within the last two years. What’s more, statistics is critical for every discipline for which data play a role, and in responding to the world’s biggest challenges such as climate change, terrorism, health and medicine, and global economic conditions. Some of the world’s largest employers of statisticians include Google and Facebook as well as governments, financial institutions, medical and pharmaceutical industries, universities and many other sectors. By completing a BStat at ANU, you stand ready to meet humanity’s biggest challenges by understanding the world we observe through the eyes of data and statistical and probability modelling.

Employment Opportunities

Organisations invest in R&D in order to gain a competitive advantage over others. R&D is at the forefront of new product design and development and is a wealth and change generator. Innovative solutions to many of the problems in society today will come from those working in R&D.

After graduation you will be skilled to work in R&D roles in industry, government, and academia, or as an accredited engineer.

Careers in engineering are diverse. Engineers are in high demand in Australia and overseas, and as an ANU graduate with a systems engineering background, you will bring extra value to future employers.

The skills and abilities you gain while studying are highly sought after in engineering companies, and also across many other professions and organisations.

Because of the unique systems approach at ANU many of our graduates quickly progress to senior management roles due to their skills and knowledge in more than one engineering discipline. For this reason engineering at ANU is often considered a springboard into the wider corporate world.

Our graduates work in many organisations including ABB, Accenture, Department of Defence, CEA Technologies, Cochlear Limited, Energy Australia, Ford, GHD, IBM, Northrop Consulting Engineers, Qantas, Telstra, Thales and Toyota.

Organisations invest in R&D in order to gain a competitive advantage over others. R&D is at the forefront of new product design and development and is a wealth and change generator. Innovative solutions to many of the problems in society today will come from those working in R&D.

After graduation you will be skilled to work in R&D roles in industry, government, and academia, or as an accredited engineer.

Careers in engineering are diverse. Engineers are in high demand in Australia and overseas, and as an ANU graduate with a systems engineering background, you will bring extra value to future employers.

The skills and abilities you gain while studying are highly sought after in engineering companies, and also across many other professions and organisations.

Because of the unique systems approach at ANU many of our graduates quickly progress to senior management roles due to their skills and knowledge in more than one engineering discipline. For this reason engineering at ANU is often considered a springboard into the wider corporate world.

Our graduates work in many organisations including ABB, Accenture, Department of Defence, CEA Technologies, Cochlear Limited, Energy Australia, Ford, GHD, IBM, Northrop Consulting Engineers, Qantas, Telstra, Thales and Toyota.

Learning Outcomes

1. Apply systematic engineering methods professionally to design optimised and sustainable solutions to complex and transdisciplinary engineering problems.
2. Construct and evaluate solutions to engineering problems by selecting and applying theoretical principles and methods from the underpinning physical, mathematical and information sciences, and broader transdisciplinary knowledge.
3. Demonstrate advanced technical knowledge at the leading edge of the discipline and the application of appropriate tools in at least one field of engineering specialisation.
4. Compare current developments and emerging trends in at least one field of engineering specialisation.
5. Understand the contextual factors that influence professional engineering practice, such as interpersonal, organizational, institutional, technological, physical, environmental, political and societal factors, and assess the potential societal, cultural, health, legal and environmental impact of engineering activities.
6. Communicate and incorporate perspectives across disciplines effectively with colleagues, other engineering professionals and the broader community employing a range of communication media and tools.
7. Engage in independent research at the leading edge of the discipline, via the completion of multiple individual research projects, through the application and synthesis of research-based knowledge and research methods.
8. Engage responsibly in critical reflection on self-competence to practice ethically and independent learning to continue practicing at the forefront of the discipline.
9. Work effectively and proactively within cross-cultural, multi-disciplinary teams, demonstrating autonomy, ethical conduct, well-developed judgement, adaptability and responsibility to achieve engineering outcomes at a high standard.

1. Review and synthesise a broad range of statistical knowledge from their chosen major.
2. Use the R statistical computing language to carry out a wide variety of statistical tasks.
3. Carry out model selection in a multiple linear regression modelling context in various discipline backgrounds.
4. Describe the concepts of stochastic processes in discrete and continuous time.
5. Describe and interpret probability theory, continuous random variables, and sampling distributions and the central limit theorem.
6. Using a diverse range of discipline backgrounds and varied data, analyse programming problems to suggest, design and implement appropriate modular program structures, based on a data-directed approach.

Further Information

Learn more about the degrees offered at the ANU College of Engineering, Computing and Cybernetics, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College, visit the College of Engineering, Computing and Cybernetics website.

Learn more about the degrees offered at the ANU College of Engineering, Computing and Cybernetics, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College, visit the College of Engineering, Computing and Cybernetics website.

Admission Requirements

Pathways

Bachelor of Engineering (Honours) might be a pathway for students who meet the Maths pre-requisites but do not have the required score for direct entry into this program. Eligible students should enrol into a Bachelor of Engineering (Honours) and if they can maintain a High Distinction average in their first year, they may be approved to transfer into the R&D program in their second year.

Prerequisites

ACT: Mathematical Methods (Major)/Further Mathematics (Major)/Specialist Mathematics/Specialist Methods (Major)

NSW: HSC Mathematics Advanced or equivalent.

VIC: Mathematics Methods or equivalent

QLD: Mathematics Methods or equivalent

TAS: Mathematical methods/Mathematics Specialised/Mathematics 1 and II through U Tas/Both Mathematics 1 and II through UTAS/Both Advanced Calculus and Applications 1A and 1B through UTAS

SA / NT: Mathematical Methods or equivalent

WA: Mathematical Methods or equivalent

IB: Mathematics: Applications and Interpretations HL/Mathematics: Analysis and Approaches SL or HL

• ACT:

Required: Mathematical Methods (Major) / Further Mathematics (Major) / Specialist Mathematics (Major) / Specialist Methods (Major)

Recommended: Specialist Mathematics/Specialist Methods (Major/Minor)

• NSW:

Required: Mathematics Advanced or equivalent

Recommended: Mathematics Extension 1 or equivalent

• VIC: Mathematics Methods or equivalent
• QLD: Mathematics Methods or equivalent
• TAS: Mathematical methods/Mathematics Specialised/Mathematics 1 and II through U Tas/Both Mathematics 1 and II through UTAS/Both Advanced Calculus and Applications 1A and 1B through UTAS
• SA / NT: Mathematical Methods or equivalent
• WA: Mathematical Methods or equivalent
• IB: Mathematics: Applications and Interpretations HL/Mathematics: Analysis and Approaches SL or HL

Adjustment Factors

Adjustment factors are combined with an applicant's secondary education results to determine their Selection Rank. ANU offers adjustment factors based on equity, diversity, and/or performance principles, such as for recognition of difficult circumstances that students face in their studies.

To be eligible for adjustment factors, you must have:

• achieved a Selection Rank of 70 or more before adjustment factors are applied
• if you have undertaken higher education, completed less than one year full-time equivalent (1.0 FTE) of a higher education program
• applied for an eligible ANU bachelor degree program

Please visit the ANU Adjustment Factors website for further information.

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

Program Requirements

The Bachelor of Engineering (Research and Development)(Honours) flexible double degree component requires completion of 168 units, of which:

A maximum of 48 units may come from completion of 1000-level courses

The 168 units must include:

90 units from completion of the following compulsory courses:

ENGN1211 Engineering Design 1: Discovering Engineering

ENGN1217 Introduction to Mechanics

ENGN1218 Introduction to Electronics

ENGN2217 Mechanical Systems and Design

ENGN2218 Electronic Systems and Design

ENGN2219 Computer Systems & Organisation

ENGN2222 Engineering Thermodynamics

ENGN2228 Signals and Systems

ENGN2300 Engineering Design 2: Systems Approaches for Design

ENGN2301 Engineering Design 3: Systems Approaches for Analysis

ENGN2706 Engineering Research and Development Project (Methods)

ENGN3100 Practical Experience (0 units)

ENGN3300 Engineering Design 4A: Systems Approaches for Management

ENGN3301 Engineering Design 4B: Systems Approaches for Operations

ENGN4712 Engineering Research and Development Project (12 units)

12 units from completion of R&D project courses from the following list:

ENGN2707 Engineering Research and Development Project

ENGN3706 Engineering Research and Development Project

ENGN3712 Engineering Research and Development Project (6 or 12 units)

ENGN4706 Engineering Research and Development Project

6 units from completion of a course from the following list:

COMP1100 Programming as Problem Solving

COMP1130 Programming as Problem Solving (Advanced)

COMP1730 Programming for Scientists

6 units from completion of a course from the following list:

PHYS1001 Foundations of Physics

PHYS1101 Physics 1

6 units from completion of a course from the following list:

MATH1013 Mathematics & Applications

MATH1115 Advanced Mathematics & Applications 1

6 units from completion of a course from the following list:

MATH1014 Mathematics and Applications 2

MATH1116 Advanced Mathematics and Applications 2

48 units from completion of one of the following Engineering majors, of which 12 units contribute towards meeting the course requirements above:

Aerospace Systems

Electronic and Communication Systems

Environmental Systems

Mechatronic Systems

Nuclear Systems

Renewable Energy Systems

6 units from completion of courses from the following subject area: ENGN Engineering

Students must achieve a minimum 75% weighted average mark across all compulsory courses undertaken in each period (Summer/First Semester/Autumn) and (Winter/Second Semester/Spring) in order to continue in the Bachelor of Engineering (Research and Development)(Honours). Students who do not achieve a minimum of 75% weighted average mark will be transferred to the Bachelor of Engineering (Honours) single degree.

Students must achieve a minimum 80% final Honours mark in order to graduate with the Bachelor of Engineering (Research and Development) (Honours). Students who do not achieve a minimum 80% final Honours mark will be transferred to the Bachelor of Engineering (Honours) degree program.

Honours

Students must formally enrol in ENGN4100 Engineering Honours at the commencement of their intended final semester.

Honours Grade Calculation

ENGN4100 Engineering Honours Grade will be used to calculate the Class of Honours and the Mark. It will be calculated as the weighted average mark (WAM) of the courses listed below. The mark for each course is weighted by the units of credit (UoC) of the course, as well as a course weighting as indicated below. WAM is calculated as follows:

WAM = (S Mark*UoC*Weighting) / (S UoC*Weighting)

• Science and Engineering Foundations (0.1 weighting): MATH1013 or MATH1115, MATH1014 or MATH1116, COMP1100 or COMP1130 or COMP1730, PHYS1001 or PHYS1101, ENGN1000-series courses.
• Engineering Fundamentals (0.2 weighting): ENGN2000-series courses (excluding ENGN2300, ENGN2301 and ENGN2707).
• Professional Core (0.3 weighting): ENGN2300, ENGN2301, ENGN3300, ENGN3301, ENGN3200.
• Engineering Discipline and R&D Project (0.4 weighting): ENGN2707, ENGN3000-series courses (excluding ENGN3300, ENGN3301 and ENGN3200), ENGN4000-series courses.

The Bachelor of Statistics flexible double degree component requires completion of 96 units, of which:

A maximum of 48 units may come from completion of 1000-level courses

The 96 units must consist of:

48 units from the completion of one of the following statistics majors:

Applied Statistics

Probability and Stochastic Processes

Statistical Data Analytics

Theoretical Statistics

 6 units from completion of the following compulsory courses:

STAT2005 Introduction to Stochastic Processes

 6 units from completion of an introductory statistics course from the following list:

STAT1003 Statistical Techniques

STAT1008 Quantitative Research Methods

6 units from completion of an introductory mathematical statistics course from the following list:

STAT2001 Introductory Mathematical Statistics

STAT2013 Introductory Mathematical Statistics for Actuarial Studies

6 units from completion of a regression course from the following list:

STAT2008 Regression Modelling

STAT2014 Regression Modelling for Actuarial Studies

12 units from completion of an introductory mathematics courses from the following list:

MATH1013 Mathematics and Applications 1

MATH1014 Mathematics and Applications 2

MATH1115 Advanced Mathematics and Applications 1

MATH1116 Advanced Mathematics and Applications 2

12 units from completion of courses from the following list:

COMP1100 Programming as Problem Solving

COMP1730 Programming for Scientists

CBEA2001 Australian Indigenous Perspectives in Business and Economics

CBEA3001 College of Business and Economics Special Industry Project (UG)

CBEA3066 Global Business Immersion

CBEA3070 ANU College of Business and Economics Internship Program

MATH2301 Games, Graphs and Machines

MATH3511 Scientific Computing

Any other ANU courses

If your flexible double degree is within the College of Business and Economics (for example Commerce and Economics), the below study plan may show the same course twice. If this is the case, you must only do the course once and replace the other course with a University Wide Elective. Please note that you cannot exceed 8 out of college electives.

Students enrolled in Bachelor of Statistics/Bachelor of Actuarial Studies degree will need to enrol in STAT2013 and STAT2014, instead of STAT2001 and STAT2008.

Students enrolled in Bachelor of Statistics/Bachelor of Advanced Computing (Hons) degree will need to enrol in MATH1115 and MATH1116, instead of MATH1013 and MATH1014. Also, in the Bachelor of Statistics, these students should replace COMP1100 with an elective, as they will completing COMP1130 in the BAC (Hons) degree, which is an incompatible course.

For majors and minors offered by the ANU College of Business and Economics, students may count a course towards multiple majors and minors. If a minor is a subset of all stated courses and/or prerequisites for a major, then completion of the major overrides completion of the minor, and only the major is regarded as having been completed. If all courses in a major and/or minor are compulsory courses in the degree, the major and/or minor will not be listed on the transcript.

Majors

Bachelor of Engineering (Research and Development) (Honours) Majors

Minors

Bachelor of Statistics Minors

Bachelor of Engineering (Research and Development) (Honours) Minors

Study Options