MAS Data Engineering and Data Science Transforming data into impact

Embark on a journey with our Master of Advanced Studies MAS in Data Engineering and Data Science. It is designed to provide the expertise required to excel in any data-centric role. You will emerge as an expert ready to navigate the technological landscapes of tomorrow and lead the charge into a new era of technology. 

The program at a glance

The MAS in Engineering and Data Science stands out with its unique blend of practical data engineering and data science methodologies, backed with direct, hands-on experience of leading cloud technologies such as Microsoft Azure. The program is designed to teach a well-rounded and comprehensive skill set. The program demonstrates its industry relevance by equipping students with practical and up-to-date knowledge. With its emphasis on innovation and creative problem-solving, the program primes graduates not just for a career in the technology sector, but also for leadership roles with the potential to shape the future of the industry and of technology.

Structure of Master of Advanced Studies

The MAS program has a modular structure and consists of three CAS modules and one MAS module. The final module required is the Master’s Module comprising a master’s thesis on a real-life problem from your company or based on your interests.

Grafik MAS Data Engineering and Data Science

By clicking, you can access the module overview.

Facts

Start

Continuous

Application deadline

Continuous

Duration

24 months

Course costs

from CHF 28,200

Course fees for the three CAS programs (each between CHF 7,900 and CHF 12,100) plus CHF 4,500 for the MAS program. Registration fee and course materials included. 5 per cent discount for HSLU premium alumni members. SVEB continuing education vouchers accepted.

Head
Information events
Degree

Master of Advanced Studies Hochschule Luzern/FHZ in Data Engineering and Data Science

Type

MAS

ECTS

60

Language of instruction
  • German
  • English
Venue

Rotkreuz

Target group
  • Professionals in IT and computing with a background in information technology, computer science or software engineering looking to specialize in data engineering and applied data science.
  • Data analysts and business intelligence professionals already working with data in a business context wishing to deepen their technical expertise and learn to leverage cloud technologies like Microsoft Azure. 
  • Industry specialists: Professionals across various industries such as finance, healthcare, logistics and manufacturing in which data science is increasingly becoming a critical tool for efficiency and innovation. 
  • Project managers and consultants who are leading data-driven projects and wish to gain hands-on experience in cutting-edge data science methodologies and add value to their consultancy services or project management.
  • Aspiring data scientists and engineers: Recent graduates in STEM disciplines who want to enter the fields of data science and engineering and seek a comprehensive continuing education program with industry relevance.
  • Executives and managers tasked with implementing data-driven strategies within their organizations who need to understand the capabilities and applications of modern data science tools and technologies.
  • People working in research and development who are looking to integrate data science and engineering practices into their research methodologies. 
Requirements

A tertiary education degree (ETH/university, university of applied sciences, college of higher education or other) and at least two years of professional experience after graduation (this can be in a field other than data science). A limited number of people with equivalent qualifications and several years of professional experience are eligible for admission via a standardized admission procedure ("sur dossier" admission) - this may be subject to conditions.

Specific requirements are set out for each CAS separately. There are no specific requirements for the MAS module. 

Provider(s)

Computer Science and Information Technology
Continuing Education

Methodology

Created with the professional in mind, this program offers a flexible format that allows participants to balance their work and personal commitments. Classes are delivered by expert instructors capable of enhancing the learning experience by merging real-world practice with cutting-edge research. Their teaching is firmly rooted in practical applicability and by encouraging students to tackle real-life projects, they ensure that they are fully prepared for the workplace after completing the program. 

Remarks

What is more, the program facilitates networking opportunities, enabling students to forge valuable connections with industry leaders, alumni, and peers.

The thesis can be written in both English or German. Interaction with the supervisor can be in English or German.

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Applied Data Intelligence supports Women in Data Science (WiDS). The conference brings together experts and advocates for education and training in data science.