Physics for Business is a new three-year undergraduate programme addressed to candidates interested in science who apart from traditional university education would like to acquire a broad range of practical skills. Combining elements of a regular physics course that provides a solid knowledge base and inculcates analytical thinking ability with expertise in state‑of‑the‑art measurement or data analysis techniques, Physics for Business prepares young people for the challenges of the present labour market. The curriculum created in close cooperation with specialists from high‑tech industry, IT, and data processing companies, imparts exceptional competences in high demand with employers. The lectures delivered by both members of the Jagiellonian University staff and industry experts, as well as student apprenticeships and even undergraduate projects carried out in close cooperation with industry companies, enable our students to gain a unique professional experience already during their studies.
New content - New form
Physics for Business offers a completely new way of educating students. The study curriculum is to a large extent implemented in the form of workshops, which ensures a greater than before flexibility of the didactic process as well as more intensively stimulates the development of creative thinking and analytical skills with students. Another important element of the programme are classes co‑created along with partners from various economical sectors (industry, finance, IT), including case analyses with participation of external experts. In order to respond to the needs of the knowledge-based economy, the topics covered by all the courses offered have been oriented towards practical problems in physics, mathematics, computer science, electronics, and automation, allowing students to achieve proficiency in solving real‑world problems.
The main elements of the Physics for Business programme are:
- basics of physical and mathematical knowledge
- two paths of education:
The programme in this path includes courses in electronics, programming, computer-aided design and state‑of‑the‑art measuring systems (real‑time systems, reconfigurable FPGA, etc.).
data analysis path
The programme in this path includes mathematical foundations for data analysis, numerical methods, databases, and machine‑learning and deep‑learning techniques.
The students can also avail themselves of a wide range of optional courses at the Faculty of Physics, Astronomy and Applied Computer Science as well as at other faculties of the Jagiellonian University.
As an integral element of the programme, the students attend two lecture cycles delivered by industry specialists (“Technological Challenges of Companies” and “Case Study”), during which they have the first opportunity to directly meet company people. A closer contact will be possible during student apprenticeships, which can be carried out either in external companies or in the University. At the last stage of the studies such cooperation may take a form of a bachelor's thesis prepared in an external company under the supervision of an academic from the Faculty.
Qualifications on completing the programme
At present the labour market often requires from people entering it a range of skills beyond the scope of traditional university education. On the other hand, the employers expect their future employees to have a solid theoretical basis, which is usually not acquired during technical academic studies due to their essentially practical orientation . Moreover, capacity for analytical and out‑of‑the‑box thinking or for group work are most advantageous features in seeking a new job.
Basing on enormous scientific potential, including excellent scholarly staff, world-class research facilities and international cooperation, and implementing up-to‑date educational techniques and courses developed in close cooperation with business and industry, the Faculty of Physics, Astronomy and Applied Computer Science has created a state‑of‑the‑art programme that will greatly contribute to achieving professional success by those who complete it.
The Physics for Business programme is designed so as to provide students with a friendly environment for training practical skills. Therefore, the emphasis is placed on courses involving a considerable amount of practical classes and whenever possible conducting them in a workshop format, which more intensively stimulates creative thinking and analytical skills. This approach ensures a greater flexibility of the didactic process.
The educational cycle has been divided into blocks of obligatory classes to be taken during the consecutive semesters and a diverse set of topical and optional classes. The student chooses what he or she wants to specialize in, while the classes in the obligatory blocks empower him/her with a strong foundation of knowledge.
The basic blocks include:
- Mathematics: two semesters involving a lot of calculation exercises.
- Physics: diverse classes of increasing level of advancement. In the first semester there are workshops on problem solving, in the next three semesters there is a basic course of physics comprising mechanics, thermodynamics, electricity and magnetism and optics, in the fourth semester there will be quantum mechanics and in the fifth semester two courses on contemporary physics.
- Physics lab: a series of classes aimed at developing the ability to design an experiment, i.e. how to effectively answer the question whether some given idea will work. Within this course, we teach posing questions, designing an adequate experiment, collecting and analyzing the data, and drawing conclusions. The entire block includes an introduction to the physic lab, the first physics lab (simple experiments) in two segments and the second physics studio (advanced experiments) in two segments.
- Classes with industry experts: two courses presenting problems faced by future employers of our students in the form of lectures (seminars) and case studies.
- IT subjects: the necessary minimum of knowledge to use computers more effectively, as introduction to programming, computer architecture, Python/C++
- Soft competences: courses developing personal and interpersonal skills, as learning techniques, presentation techniques, seminars.
The optional topical courses include:
- Courses on broadly understood data science, as probability calculus and statistics, numerical methods, introduction to data analysis, image analysis, machine and deep learning.
- Courses relating to advanced laboratory techniques, as electronics, LabView (certificate), reconfigurable FPGA systems.
And a lot of other interesting courses.
Apprenticeships and the B.Sc. thesis can be done either in our laboratories or with one of our partners from the broadly understood industry.
A detailed program can be found here.