BIOBPRA2 Practical and Employable Skills Course description

The course deals with the professional role and work of biomedical laboratory scientists. It is essential that biomedical laboratory scientists have knowledge of their role and the role of laboratory medicine in the health services. Students will develop qualifications in medical laboratory sciences, enabling them to practice in this field. The course places emphasis on linking learning to authentic work situations and issues under the supervision of experienced biomedical laboratory scientists with relevant expertise.

• Passed first and second year or equivalent of the Bachelor’s Programme in Biomedical Laboratory Sciences, or
• Admitted to the Complementary Education in Biomedical Laboratory Science

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

• has knowledge of the significance that the laboratory activities at the practical training institution has to the health service and can discuss the biomedical laboratory scientist’s professional role
• has knowledge of the principles behind selected analyses and investigations at the practical training institution
• can describe the correct treatment of different types of human biological sample material and how analytical, pre- and postanalytical conditions affect analysis results
• can describe a sample's journey through the laboratory, the requisition and results communication system
• can describe the quality assurance systems at the practical training institution
• can describe the legal basis of medical laboratory activities

Skills

The student

• can use the analysis instruments and laboratory equipment used at the practical training institution
• masters selected methods for biomedical laboratory sciences work in a structured and precise manner, in accordance with applicable laws, regulations and procedures, and assess the methods’ possibilities, limitations and sources of error
• can assess the risk of undesirable incidents and is familiar with methods for following this up in a systematic manner at the practical training institution
• can master information technology and automation systems, including laboratory information systems (LIS), middleware systems and management systems for analysis instruments at the practical training institution
• can handle human biological material and protect privacy in relation to reception and storage

General competence

The student

• can document, discuss and disseminate his/her knowledge of biomedical laboratory sciences issues and exchange points of view and experience, and can update his/her knowledge both through collecting information and through contact with the academic and professional field
• can comply with laws and regulations governing the field
• can reflect on his/her own academic practice, acquire new knowledge, seek and accept supervision
• identify and reflect on relevant professional ethical issues and handle them in his/her biomedical laboratory work
• reflect on his/her own and others' role in interdisciplinary cooperation with the patient’s best interest in mind

Work and teaching methods comprise seminars and external practical training.

The students must undergo seven weeks of supervised external practical training in a medical laboratory.

No particular coursework requirements.

Note that there is an attendance requirement for practical training and activities related to practical training. For more information about the attendance requirement in practical training, see ‘Assessment of external practical training’ in the main section of the programme description.

Assessment of practical training. The minimum attendance requirement for practical training and preparatory seminars is 90%. In addition, attendance is required for the concluding reflection conversation at OsloMet. For more information about the attendance requirement in practical training, see ‘Assessment of external practical training’ in the main section of the programme description.

New assessment/exam: If the student fails the practical training period, he/she must normally retake the whole period.

Not relevant.

The Master's Degree Program in Smart Mobility and Urban Analytics (SMUA) is a full-time course of study over two years with 120 ECTS that is given in English. The program represents a continuation and specialization in relation to the bachelor's degree program in Civil Engineering, under the technical planning course option. This program offers a practical and profession-oriented specialization, extending a bachelor’s in civil engineering in the study field of integrated urban and transport planning, geographical planning, technology or landscape architecture.

In line with expectations from the industry, the program is planned to be cross disciplinary from the start, with a unique focus also on IT, digital tools and skills commonly used and highly needed in the industry, especially tools and skills related to urban and transport analytics and planning, geographical information systems (GIS) and data science.

Society and authorities place increasing demands on environmentally friendly, innovative and sustainable design of mobility and urban solutions. Climate change in the form of increased temperatures, more precipitation and extreme weather exposes constructions, infrastructure and networks to greater and less predictable stressors. Industry and researchers highlight the need of candidates with expertise at master's degree level (engineers) in the fields of smart mobility and urban analytics who have knowledge in environmental issues relating to this field as well as updated skills on new technology.

This study program offers a combination of expert and interdisciplinary knowledge where the students will achieve a high level of proficiency in sustainable urban development as well as achieving strong digital skills and knowledge. Interdisciplinary studies involve the combination of two or more academic disciplines into one activity. The interdisciplinary nature of this program has two major aspects according to the academic professionals developing this program at the faculty. The first related to the knowledge developed in urban planning and design, urban transport and mobility, as well as ethics and sustainability in this field. The second being digital competence, new technologies and tools, like simulation tools AIMSUN or SUMO, or data analysis software Python, R or Weka, or geographical information systems such as ArcGIS or QGIS.

In-depth areas in this master program will be:

Space Syntax (20 ECTS) which will provide in-depth knowledge of how complex architectural and urban systems work, and how spaces can be planned, designed and manufactured to create a better society bringing together the fields of architecture and urbanism. Space Syntax is a theoretical and analytical framework, as well as a modeling tool to design and analyze the human-built environment. Students will investigate spatial morphology and its social implications by a practical, hands-on program of lectures, workshops and a project.

Urban Mobility (20 ECTS) which will provide in-depth knowledge in land use and transportation planning for smart and sustainable cities that meet the needs of all residents. Students will learn how to experiment and test hypotheses and think strategically about multi-modal transport systems, the movement of people and goods, and intelligent transport systems in urban areas. Students will grow their expertise joining a session of lectures, workshops and through work on projects.

The goal with this program is to educate and train candidates who are qualified to address the challenges of both professional life and scholarly enquiry within their specialization as well as being a productive member of interdisciplinary teams.

Graduates from this program will:

• understand the role of their specialization in organizations and society
• possess deep technical skills from their own specialization that can be applied in a variety of real-life scenarios
• understand how their specialization is part of a wider fabric of skills necessary to solve tomorrow's challenges
• have a professional and ethical attitude towards their role in the workplace
• display creative thinking in real-life situations, leaning both on theoretical knowledge and on pragmatism
• plan and execute their work in a structured and independent manner, be it as professionals or as researchers in their field
• have expertise that is in high demand in both the private and public sector. The most relevant employers are advisory engineering firms, municipalities or other public agencies, private companies within transport and urban planning industry and research institutes
• qualify students for further studies at the doctoral degree level.

More specifically, the graduates will:

• Be able to identify needs in the smart society. This particularly means that the students are trained to plan for mobilities and accessibility to/from services, jobs and amenities that are more fluent in times when tele-commuting and online consumption has increased.
• Be aware of and sensitive to, and responsive when planning and suggesting policy measures to handle vulnerabilities. Pandemics, 100-year-storms, and similar have proven to be more than fiction. Planning for a resilient society includes planning for alternative transport solutions, and prioritization of lines, roads, and services in case of emergency.
• Be able to integrate sustainability in plans, execution, evaluation and circularity of societal development.
• Be equipped with tools and methods for planning and implementing integrative urban landscapes. With specific focus on planning for equal opportunities in urban areas where new technologies for participation in and communication with citizens may be used to different extent due to language barriers, age, trust, etc

After completing the education, the student will be especially suitable for:

• Employments in urban, regional and transport planning departments in municipalities and public organizations
• Jobs in firms and agencies developing stakeholder strategies, meta-data description and tech-mediation between smart-city developers and users
• Consultancy firms developing strategies for smart city developments
• Creation and analysis of geo-coded data, including statistical analyses
• Research and evaluation work

Students who complete the master's degree program will be awarded the degree of Master of Science (MSc) in Smart Mobility and Urban Analytics.

Please refer to the Regulations relating to Admission to Studies at OsloMet, https://lovdata.no/dokument/SF/forskrift/2015-12-15-1681, which is our basis for these admission requirements.

Admission to the master’s degree program requires a bachelor’s degree with a grade point average of C or better according to the ECTS grading scale in the following disciplines

• In civil engineering,
• In other disciplines covering urban and/or transport planning, spatial planning, transportation engineering, human and physical geography, architecture or landscape architecture, urban analytics, and urban economics.

All applicants must have taken at least:

• 20 ECTS in mathematics and/ or statistics and/or spatial analysis

Proof of your English proficiency https://www.oslomet.no/en/study/admission/english-proficiencyrequirements-masters

It is recommended to have programming skills.

Applicant groups and ranking

In line with Section 15 Quotas, paragraph 3 of the Regulations concerning Admission to Higher Education regarding master’s degree programs taught in English, this master program will reserve a minimum of 30% of the places to Norwegian applicants. https://student.oslomet.no/en/regulations-admission-studies-oslomet

The program is a full-time program over two years that consists of a lecture-based component with a scope of 90 credits and an independent project, the master’s thesis, with a scope of 30 credits. The master’s degree program will prepare students to meet society’s need for up-todate, forward-looking expertise in sustainable and smart urban analytics and transport planning. In this master program, the students will achieve knowledge in both the fields of smart mobility and urban analytics.

The courses are organized in a systematic way. The transport courses provided in the first semester will provide students strategic and technological knowledge of the state-of-the-art transport system and the challenges it is facing. Moreover, basic research skills will also be provided to help students to handle more methodological courses in the second semester. During the second semester, the widely applied analytic and modeling method will be provided to students with the focus on human activity and needs. Their knowledge will be expanded from the transport system to the whole city. Students will have in-depth skills and concepts of urban analytics and regional science. In the second year, students will select their expertise and conduct a master thesis based on everything they learned in the first year.

Smart mobility concerns the evolution of transportation networks and transport planning strategies. The study program focuses on providing the students with more detailed knowledge of the history, trends, problems, and opportunities in land use and transportation. The program incorporates substantive knowledge in transport demand and travel behavior, land use and transportation policy and planning, street design and urban space, and implications for a sustainable urban future. The study program also aims to provide updated skills on new technology in this field as well as knowledge in innovations in equitable and sustainable urban mobility.

Urban analytics is analyzing and understanding the evolution and challenges of urban development, as well as urban and land use planning. The study program focuses on providing the students with solid, theoretical knowledge and applied skills in urban systems, management of urban design and human factors in sustainable cities. Climate change and increased focus on resource use and environmental impacts thereby entail a greater focus on the choice of urban design. The study program focuses on providing the students with more detailed knowledge of town-friendly planning and green policy. The study program also aims to provide updated skills on new technology in this field as well as knowledge in innovative and sustainable urban planning.

In the third semester, students have the option to choose in-depth knowledge in either smart mobility or in urban analytics. Students who choose to specialize in smart mobility will take the Urban Mobility elective, and students who choose to specialize in urban analytics will take the Space Syntax elective. The elective courses give students necessary knowledge in these areas, and experience applying the skills and methods learned in the first and second semester to specific problems in smart mobility or urban analytics. After completing the elective, students will then complete a master’s thesis in the fourth semester. The master’s thesis will then give the students further practice in applying their knowledge and skills to relevant issues through more comprehensive project work.

The study program focuses on teaching students how to use advanced computer programs and simulation tools to solve complex problems relating to sustainable urban and transportation problems, so the development of digital skills is an important integrated part of all the courses. This also helps make the program cross-disciplinary, including elements of computer science, analytic disciplines (like modeling, simulation), artificial intelligence, machine learning etc., because that is what the industry needs today

The study program also aims to qualify candidates with the competence to participate in research work in the field. The two courses Research Methods and Research Ethics (5 ECTS) and Advanced Research Methods (5 ECTS) underpins the master’s thesis and provides an introduction to qualitative and quantitative research methods, ethics, and academic writing and dissemination of results

The master’s thesis is an independent, supervised research or development project in the core areas and represents further specialisation in either smart mobility or urban analytics.

The structure of the programe:

The master’s degree program consists of eight compulsory courses, two elective courses in addition to a master’s thesis. The course portfolio is composed so that the compulsory courses ensure academic and professional breadth, at the same time as the students are given an opportunity for in-depth study and specialisation through elective courses and the master’s thesis.

The choice of elective courses for the third semester (smart mobility or urban analytics) is made at the end of the second semester. The whole fourth semester is dedicated to the master’s thesis. It is natural that the master’s thesis builds on the project work that forms part of the specialization topic in the third semester. The topic of the thesis can either be linked to a client’s issue or to relevant research projects in the department.

In order for students to be able to present the master’s thesis, all courses from the first year of the study program must be passed.

Students are encouraged to contact relevant enterprises in the region for the purpose of gaining practical training and experience in the fields through a summer job or similar, and to establish cooperation on project assignments.