Master s Degree Programme Computer Science. Revised 2 October 2015

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Master’s Degree Programme

Computer Science

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Kandidatorientering

Master’s Degree Programme



Important choices



Structure of the Master’s Degree Programme



Specialization columns



Requirements for the study programme



Admission



Practical information

 Slides: www.cs.au.dk/studieorientering

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Choices



During Master’s degree studies:

• Specialization?

• Elective courses?

• Supplementary subjects (tilvalgsfag)?

• Study abroad?

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Kandidatorientering

Master’s Degree Programme



Important choices



Structure of the Master’s Degree Programme



Specialization columns



Requirements for the study programme



Admission



Practical information

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Structure of the Master’s Programme



Many take all mandatory courses and the

required supplementary subjects during bachelor

studies



This gives freedom in Master’s programme



3 examples of course programmes



Many alternatives



Quarter-placement of certain courses may require

adjustments and changes of programme!

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Structure of Master’s Programme: Ex 1

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First year: 3 columns of each 20 ECTS

• Column 1: mandatory courses (often passed in bachelor studies) • Column 2: specilization column

• Column 3: Supplementary subject = ”tilvalg” (often passed in bachelor studies) (possibly related to specialization)



Second year: 2 semesters of each 30 ECTS

• 3. semester: study abroad (cancels the requirement of a 30 ECTS supplementary subject)

• 4. semester: thesis (based on specialization)

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Kandidatorientering

1. semester

Column 1 Column 2 Column 3

2. semester 3. semester

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Structure of Master’s Programme: Ex 2



First year: 3 columns of each 20 ECTS

• Column 1: specilization column • Column 2: specilization column

• Column 3: Supplementary subject (possibly related to specialization)

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Second year: 2 semesters of each 30 ECTS

1. semester

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Structure of Master’s Programme: Ex 3

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First year: 3 columns of each 20 ECTS

• Column 1: specilization column • Column 2: specilization column • Column 3: specilization column

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Second year: 2 semesters of each 30 ECTS

• 3. semester: specialization strengthened with related elective courses

• 4. semester: thesis (based on specialization)

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Kandidatorientering

1. semester

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Master’s Degree Programme



Important choices



Structure of the Master’s Degree Programme



Specialization columns



Requirements for the study programme



Admission

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Kandidatorientering

What is a specialization column?

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20 ECTS coherent (progressive) courses within a

subdiscipline of computer science

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Gives the minimal basis for writing a thesis

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You should take at least 1 specialization column

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It is recommended that you take 2 and if possible 3

specialization columns

• (when requirements regarding mandatory and supplementary courses (”tilvalg”) allow space for several specialization columns)

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Choose elective courses and possibly a supplementary

subject to support and strengthen your specialization



Study abroad: select university and courses to support and

strengthen your specialization

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How to choose specialization columns?



The following slides have examples of

specialization columns

• The supply changes continuously

• Depends on current research groups



You may compose an individual specialization

column (under guidance)



You choose based on

• Interest

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Examples of specializations

 Cryptography and Security

 Bioinformatics

 Algorithms and Data Structures

 Mathematical Computer Science

 Data Intensive Systems

 Programming Languages

 Human Computer Interaction

 Ubiqitous Computing and Interaction

12 Kandidatorientering Contacts  Ivan Damgaard  Christian Storm  Gerth Brodal

 Peter Bro Miltersen

 Ira Assent

 Anders Møller

 Susanne Bødker

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Cryptography and Security



Specialization column (with progression over 3 semesters)

• Q1+Q2: Cryptology

• Q3+Q4: Cryptologic Protocol Theory

• Q1: Cryptographic Computing – Foundations • Q2: Cryptographic Computing - Projects

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Related elective courses

• Summer (25 July -12 August 2016; 5 ECTS): Identity and Privacy

• Q1+Q2: Coding Theory (2015)

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Related supplementary subject (mathematics)

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Bioinformatics

 Specialization column (with progression)

• Q1: Algorithms in Bioinformatics – Sequences

• Q2: Algorithms in Bioinformatics – Trees and Structures • Q3: Machine learning in Bioinformatics

• Q4: String Algorithms

 Related elective courses

• Q1+Q2: Machine Learning

 Related supplementary subject (bioinformatics)

• Statistical Methods in Bioinformatics (Q1+Q2), Tree of Life 1+2 (Q1+Q2) , Learning from Genome Data 1+2 (Q1+Q2), Data

Science 1+2 (Q1+Q2). Proteomics (Q3), Genome Variation and Human Health (Q4), Projects in Bioinformatics (Q1-Q4)

• http://studerende.au.dk/studier/fagportaler/datalogi/tilvalg/saerli ge-tilvalg/

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Algorithms and Data Structures

 Specialization column (with progression over 3 semesters)

• Q1+Q2: one or more of these

• Geometric Algorithms • Machine Learning

• Q3: Algorithm Engineering • Q4: Algorithmic Gems

• Q1+Q2: one or more of these

• IO-Algorithms

• Advanced Data Structures (2015, 2017,…)  Related elective courses

• Q3+Q4: Topics in Discrete Geometry

 Related supplementary subject (mathematics)

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Mathematical Computer Science

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Specialization column (with progression)

• Q3: Optimization (mandatory)

• Q4: Combinatorial Search (mandatory)

• Q1+Q2: (one or more of these):

• 2014, 2016: Computational Complexity Theory • 2015, 2017:

– Q1: Approximation algorithms – Q2: Project work

• Machine Learning



Related supplementary subject (mathematics)

benefit of specialization column increases on top of:

• Linear Algebra, Algebra, Mathematical Analysis

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Data-Intensive Systems

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Specialization column (with progression)

• Q1+Q2: Machine Learning

• Q3: Multidimensional Databases (2014, 2016, etc)

• Q3: Indexing of Disk-based Data (2015, 2017, etc)

• Q4: Project work in Computer Science within the areas of

data mining or query processing techniques

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Related elective courses

• Q1: Algorithms in Bioinformatics – Sequences

• Q3: Algorithm Engineering

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Programming Languages

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Specialization column (with progression over 3 semesters)

• Q1: Introduction to Functional Programming • Q2: Advanced Web Programming

• Q3: Functional Programming Techniques • Q4: Static Analysis

• Q1+Q2: Semantics of Programming Languages

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Related elective courses

• Q3+Q4: Category Theory (2015, 2017) • Q4: Language-based Security

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Human Computer Interaction

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Specialization column (with progression)

• Q1: Theories and Qualitative Methods in HCI

• Q2: User Experience

• Q3: Social and Collaborative Computing

• Q4: Designing Interactive Technologies

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Related elective courses

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Ubiqitous Computing and Interaction

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Specialization column 1 (with progression)

• Q1: Cloud Computing and Architecture

• Q2: Advanced Web Programming

• Q3: Internet of Things

• Q4: Internet of Things - Project

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Specialization column 2 (with progression)

• Q1: Pervasive Positioning

• Q2: Context Awareness

• Q3: Augmented Reality

• Q4: Designing Interactive Technologies

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Additional Elective Courses

 Q1+Q2: Introduction to digital audio

 Q3+Q4: Embedded Systems - Embodied Agents, Digital Control in a Physical World

 Summer (25 July – 12 August 2016; 5 ECTS): Introduction to Interactive 3D Graphics

In the Master’s Programme only:

 Q1: Science-based IT Entrepreneurship and Innovation

 Q4: Mathematics and Computer Science Education

 Placement at Upper Secondary School

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Kandidatorientering

Master’s Degree Programme



Important choices



Structure of the Master’s Degree Programme



Specialization columns



Requirements for the study programme



Admission



Practical information

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Requirements for the Study Programme

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120 ECTS in total

• At least 90 ECTS graduate level computer science

• At least 180 ECTS computer science in bachelor + master’s

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Mandatory courses:

• Experimental System Development (10 ECTS) • Compilation (10 ECTS)

• Optimization (5 ECTS)

• Combinatorial Search (5 ECTS)



Supplementary subject (30 ECTS)

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Kandidatorientering ₂₄

Yellow Brick Requirement

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All Programmes (Bachelor or Master’s) must

include 60 ECTS passed at Science and

Technology, Aarhus University

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Master’s Degree Programme



Important choices



Structure of the Master’s Degree Programme



Specialization columns



Requirements for the study programme



Admission

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Kandidatorientering ₂₆

Admission

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When bachelor completed



You apply for admission into Master’s Programme

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... or apply for admission into PhD studies



Admission

• You must actively apply for admission • You must actively apply for SU

• Making a study programme (contract) does not suffice



http://kandidat.au.dk/optagelse/adgangskrav/

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Temporary Admission

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If you lack X<30 ECTS in your bachelor, you may

for a 6 months period take 30-X ECTS courses to

be part of your future Master’s Programme

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No temporary admission if you still lack a

mandatory course and you have failed it twice!

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Never delay (re)examination in a mandatory

course!

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This might have SU-related consequences!

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PhD studies?

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Søg ind på PhD-uddannelsen!

• Næste deadline 1.november • Du får løn for at studere!

• http://talent.au.dk/phd/scienceandtechnology/programmes/com puter-science/

• Kontakt Anders Møller for info!

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Master’s Degree Programme



Important choices



Structure of the Master’s Degree Programme



Specialization columns



Requirements for the study programme



Admission



Practical information

• Contracts

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Kandidatorientering

Contracts



Master’s Contract:

• http://kontrakt.scitech.au.dk/

• Complete before signing up for first course in Master’s

Programme

• Also in case of temporary admission

• You may only sign up for courses mentioned in your contract

• Revise at semiannual interviews in April and October

• http://www.cs.au.dk/~gudmund/interview.html



Thesis Contract:

• Sign at start of thesis work

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Signing up for courses

schedule of classes / exams



Sign up:

• May 1-10 for courses in (Summer &) Fall

• November 1-10 for courses in the Spring (& Summer) • Advance approval of credit transfer may be needed for

supplementary subjects, see

http://studerende.au.dk/studier/fagportaler/datalogi/undervisning /tilvalg-og-valgfrihed/

• Signing up is final – you cannot change later



Schedule for elective courses:

• Is available – watch out for collisions!

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Stay abroad

 Credit transfer

• Advance approval (ECTS computation may be tricky!)

• If foreign university allows less than 30 ECTS then top up with

• Summer courses • Project work

• Update Master’s contract

 Europe (ERASMUS)

• Existing and new exchange agreements • Trine Ji Holmgaard

 Elsewhere (incl. Scandinavia)

• International center www.au.dk/ic

• General guidance on foreign studies

 Questions?

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Student Counselor



The student counselor may help you

• Jacob Albæk Schnedler

• For contact information see

http://studerende.au.dk/vejleder-datalogi/

• Possible topics:

• Change of study programme, delay, leave of absence,

withdrawel

• Illness

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Kandidatorientering

Additional information



Web pages

• http://studerende.au.dk/studier/fagportaler/datalogi/



DUF

• http://www.cs.au.dk/duf



DSAU

• Datalogisk Studenterforening, AU

• http://dsau.DK

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