Look around, Information Technology (IT) is everywhere - your TV, laptop, gaming system, mobile phone, watch, music, movies, kitchen, car, bank and your next gig tickets. It is changing the way we live, learn, work and even socialise.

If you are interested in driving this exciting revolution, within a truly globalised and fast changing industry, then the ANU Bachelor of Information Technology is for you.

You will get a strong grounding in computing fundamentals to tackle the progressive nature of IT. With IT being an intrinsic part of all industries, knowledge of software development and information systems is highly sought after by the best employers.

This degree can also be taken as a flexible double with almost any other degree at ANU.

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

The Bachelor of Statistics is designed to produce graduates who are able to deliver crucial insight within an increasingly information driven business environment. Examples of employment opportunities include:

• Applied research, for example market research
• Academic research, particularly social sciences
• The Government sector employs statisticians to assist with policy/program development and evaluation
• Business analyst within finance and banking sector

The Bachelor of Statistics is designed to produce graduates who are able to deliver crucial insight within an increasingly information driven business environment. Examples of employment opportunities include:

• Applied research, for example market research
• Academic research, particularly social sciences
• The Government sector employs statisticians to assist with policy/program development and evaluation
• Business analyst within finance and banking sector

Learning Outcomes

1.  Analyse well defined problems, and design, implement and evaluate solutions that demonstrate an understanding of the systems context in which software is developed and operated including economic, social, historical, sustainability and ethical aspects.

2.  Recognise connections and recurring themes, including abstraction and complexity, across the discipline.

3.  Adapt to new environments and technologies, and to innovate.

4.  Demonstrate an operational understanding of the foundations of computer science including programming, algorithms, logic, architectures and data structures.

5.  Communicate complex concepts effectively with diverse audiences using a range of modalities.

6.  Work effectively within a team in order to achieve a common goal.

7.  Demonstrate commitment to professional conduct and development that recognises the social, legal and ethical implications of their work, to work independently, and self- and peer-assess performance.

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
   
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. Analyse programming problems to suggest, design and implement appropriate modular program structures, based on a data-directed approach.   

Further Information

Electives: 

Students have 48 units of electives in a single degree program. Electives can be selected from CBE or other Colleges. No more than 10 courses at 1000 level.

Students wish to undertake an out of college elective may contact the relevant College directly.

Student Responsibility:

It is the student's responsibility to select electives in such a way that:

they satisfy prerequisites for the corresponding course/s.

they conform to the rules set out in Programs and Courses or if unsure seek advice from the CBE office.

It is the student's responsibility to select the courses appropriate for his/her program.

Study Plans:

Study Plans for Commencing Semester 1 or 2

Electives: 

Students have 48 units of electives in a single degree program. Electives can be selected from CBE or other Colleges. No more than 10 courses at 1000 level.

Students wish to undertake an out of college elective may contact the relevant College directly.

Student Responsibility:

It is the student's responsibility to select electives in such a way that:

they satisfy prerequisites for the corresponding course/s.

they conform to the rules set out in Programs and Courses or if unsure seek advice from the CBE office.

It is the student's responsibility to select the courses appropriate for his/her program.

Study Plans:

Study Plans for Commencing Semester 1 or 2

Admission Requirements

Prerequisites

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

NSW: Mathematics Advanced or equivalent. More information about interstate subject equivalencies can be found here. here.

ACT: Specialist Mathematics (Major/Minor)/Specialist Methods(Major/Minor), NSW: Mathematics Extension 1. More information about interstate subject equivalencies can be found here.

Adjustment Factors

Adjustment factors are additional points added to an applicant's Selection Rank (for example an applicant's ATAR). ANU offers adjustment factors based on performance and equity principles, such as for high achievement in nationally strategic senior secondary subjects and for recognition of difficult circumstances that students face in their studies. 

Selection Rank adjustments are granted in accordance with the approved schedules, and no more than 15 (maximum 5 subject/performance-based adjustment factors and maximum 10 equity-based adjustment factors) can be awarded. 

You may be considered for adjustment factors if you have:

• applied for an eligible ANU Bachelor degree program
• undertaken Australian Year 12 or the International Baccalaureate
• achieved an ATAR or equivalent at or above 70
• not previously attempted tertiary study.

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 Information Technology flexible double degree component requires completion of 96 units, of which:

A maximum of 36 units may come from completion of 1000-level courses

The 96 units must include:

30 units from the completion of the following compulsory courses:

COMP1600 Foundations of Computing

COMP2100 Software Design Methodologies

COMP2300 Computer Organisation and Program Execution

COMP2420 Introduction to Data Management, Analysis and Security

MATH1005 Discrete Mathematical Models

6 units from completion of course from the following list:

COMP1100 Programming as Problem Solving

COMP1130 Programming as Problem Solving (Advanced)

6 units from completion of course from the following list:

COMP1110 Structured Programming

COMP1140 Structured Programming (Advanced)

24 units from completion of a 3000- and 4000-level courses from the following subject areas:

COMP Computer Science

INFS Information Systems, only if completing the Information Systems major

A minimum of 12 units and a maximum of 30 units from completion of further courses from the following subject areas:

COMP Computer Science

INFS Information Systems, only if completing the Information Systems major

A maximum of 6 units from completion of 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

MATH2301 Games, Graphs and Machines

STAT1003 Statistical Techniques

STAT1008 Quantitative Research Methods

A maximum of 12 units from completion of courses from the following list:

ENGN1211 Discovering Engineering

VCUG2002 Leadership and Influence in a Complex World

VCUG3001 Unravelling Complexity

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

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

COMP1100 Programming as Problem Solving

COMP1730 Programming for Scientists

 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

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

MATH2301 Games, Graphs and Machines

MATH3511 Scientific Computing

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 or CBE List 1 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 Information Technology Majors

Bachelor of Statistics Majors

Minors

Bachelor of Statistics Minors

Bachelor of Information Technology Minors

Study Options

Honours

Students may proceed to the fourth honours year in Statistics. Entry to the honours year program is subject to an appropriately high average grade (generally distinction level or above) in the 3000-level compulsory subjects described in the course listings and requires the approval of College. Other conditions may also apply. Students who are interested in the honours program should seek further advice from the Convenor of the Program in the Research School of Finance, Actuarial Studies and Applied Statistics.