The MSc Forensic Genetics and Human Identification is a comprehensive course on Human Identification and Mass Fatality Incident Analysis incorporating the full methodological repertoire of Forensic Genetics and DNA analysis, Physical Anthropology, Crime Scene Investigation and Human Identification based on biometric assessment of a variety of physical characteristics.
Intensive Course Program
We deliver our masters programmes in two semesters of taught subject materials, followed by a full-time intensive research project over the summer.
Throughout the taught section of the program, current and advanced topics in Human Identification are taught by forensic scientists and practitioners in comprehensive lecture series. Lecture topics are discussed in seminars and reinforced in practical teaching sessions.
During our methods units, students learn advanced research techniques and topic related professional skills.
Subsequently, students carry out their independent research project (in one of the featured subjects) in collaboration with a member of the Forensic Science department, based upon a comprehensive literature review and project design.
The ten week full-time research project is accompanied by training in scientific writing, project design and oral presentation skills.
Student Services and Guidance
A two week orientation prior to the programme provides assistance and advice for managing the day to day life and familiarisation with the university facilities. The School of Applied Sciences also provides an optional one week transition program for international students.
If you commenced undergraduate study at any University in 2012 you may be eligible for a £10,000 bursary
Forensic Genetics, Forensic Anthropology, Human Identification from Physical Characteristics, Professional Skills in Forensic Science, Laboratory techniques, Molecular Genetics and Genomics, Research Methods and Research Project
The Masters in Forensic Genetics and Human Identification is a comprehensive course on Human Identification and Mass Fatality Incident Analysis incorporating the full methodological repertoire of Forensic Genetics and DNA Analysis, Physical Anthropology and Human Identification based on biometric assessment of physical characteristics incorporated with advanced research techniques and associated professional skills.
With reference to its structure and combination of key topics, this course is quite unique in the national as well as international market, while being designed to generate a postgraduate level of competence in an important as well as exciting area of Forensic Science.
This programme provides an exciting opportunity to gain intensive training in the psychology of individual differences by a large team of world-class researchers.
It provides advanced graduate-level study in the field of the psychology of individual differences and psychological research skills, and forms a strong basis for further (typically PhD) study.
There are two key subdivisions in the study of human individual differences: personality and mental abilities. Psychology at Edinburgh has a uniquely large number of world-class researchers in both subdivisions.
The programme covers psychometric research methods, the foundations and correlates of human individual differences (including approaches involving information processing, brain-imaging, molecular genetics and biometric models), and the application of individual differences in personality to health. No prior experience of the psychology of individual differences is assumed.
This programme comprises two semesters of taught courses, followed by a research-based dissertation supervised by a member of staff with similar research interests.
Option courses may include:
The programme is aimed primarily at students who are considering advanced research in the area. Students who follow this programme will gain:
This programme has been designed to help you progress your research career and offers a firm basis for further postgraduate study.
Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. One of the scientific community’s key research objectives is the development of an intelligent robot. The Master of Artificial Intelligence explores and builds on this challenge, will you?
The Master of Artificial Intelligence programme at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.
The AI program aims at instructing and training students on state of the art knowledge and techniques in Artificial Intelligence, with specific focus either on Engineering and Computer Science (ECS), on Speech and Language Technology (SLT) or on Big Data Analytics (BDA), depending on the selected option within the program. It aims at introducing the students to the concepts, methods and tools in the field.
It aims at instructing students on the achievements in a number of advanced application areas and make them familiar with their current research directions. It aims to bring students to a level of knowledge, understanding, skills and experience that are needed to actively conduct basic or applied research on an international level. In particular, it aims to provide students with a critical scientific attitude towards the central themes of A.I.
As a master-after-master program, it is assumed that the students entering this program have already achieved the general skills and attitudes defined for any master program. Nevertheless, it is also within the aims of the program to further strengthen the skills and attitudes, within the specific scientific context that AI offers.
ECS-option: In the ECS option, in addition to the above, the program aims at instilling a problem-solving attitude towards the practice of AI. Upon completion of the program, students should be familiar with the fundamentals of AI, be aware of its reasonable expectations, have practical experience in solving AI-problems and be acquainted with a number of advanced areas within the field.
SLT-option: In the SLT-option, in addition to the general aims, the program aims to provide all necessary background and skills which are required to fully understand and to actively participate in the fast developing multi-disciplinary field of Language and Speech. This includes a thorough understanding of the theories and models that shape the field, as well as practical experience with a variety of technologies that are used and currently developed.
BDA-option: In the BDA-option, in addition to the general aims, the program aims for the same additional goals as the ECS-option, but specialized to Big Data Analytics. In particular, it aims at instilling a problem-solving attitude towards the practice of Big Data Analytics. Upon completion of the program, students should be familiar with the fundamentals of Big Data Analytics, be aware of its reasonable expectations, have practical experience in solving BDA-problems and be acquainted with a number of advanced areas within the AI-subfield of BDA.
With a Master's degree in artificial intelligence you will be welcomed by companies working in:
You will also be qualified to work in banking or provide support for the process industry, biomedicine and bioinformatics, robotics and traffic systems. Some graduates go on to begin a PhD programme.