Master in Fungal Bioelectronics and Computing
Advanced professional training at the intersection of fungal biology, electrophysiology, bioelectronic devices and unconventional computing research.
Program identification
- 1.1Program name
- Master in Fungal Bioelectronics and Computing
- 1.2Type of qualification
- Master
- 1.3Provider / endorsing institution
- Fungaris – International Institute of Mycology, School of Fungal Computing, Bioelectronics & Space Mycology. A Fungaris program of its own, not endorsed by a university.
- 1.4Mode of study
- Online, with live sessions in a small group, recordings and a virtual campus.
- 1.5Duration (hours / ECTS credits)
- 10 months (40 weeks) · 432 hours in total · 12 modules of 36 hours · 40 live sessions of 2 hours. ECTS credits: not applicable (Fungaris own program, not an official university degree).
- 1.6Language
- English
- 1.7Start and end dates / intake
- Next intake: February 1, 2027 to November 19, 2027. Enrollment closes on January 25, 2027. Following intake: October 4, 2027. How intakes work →
Overview
2.1Program description
This master offers advanced professional training at the intersection of fungal biology, electrophysiology, bioelectronic devices and unconventional computing. Across twelve modules you study fungal cell biology and ion transport, electrophysiology instrumentation, and signal processing with machine learning for biosignals. You then build mycelium sensors and bioelectronic interfaces, study the theory of unconventional computing and reservoir and in-materio computing, and explore biohybrid systems and robotics.
This is a research frontier: many current claims are preliminary, so the program places strong emphasis on research design, reproducibility and open science, and on ethics and responsible communication. Graduates are equipped to contribute credibly to research groups, R&D teams and doctoral projects. It suits graduates in engineering, physics, computing or biology. The master's thesis is an independent research project in which you design, conduct and analyze an experimental or computational study, then present it in publication format with open data and code.
2.2Why it matters / what need it meets
It meets a practical need: applied, up-to-date knowledge in fungal computing, useful in areas such as bioelectronics R&D, unconventional computing, academic research, robotics and biohybrid systems.
Mycology is moving fast and good practical training is still scarce. This program gives you a structured path, taught live by people who work in the field, so you can apply what you learn with judgment and safety.
Objectives and competences
3.1General objective
To finish the program able to apply its content professionally and with judgment. In short:
Advanced professional training at the intersection of fungal biology, electrophysiology, bioelectronic devices and unconventional computing research.
3.2Specific objectives
- Build the foundations: Fungal cell biology and physiology; Ion transport and electrical phenomena in fungi; Electrophysiology instrumentation; Signal processing and machine learning for biosignals.
- Put them into practice: Mycelium sensors and transducers; Bioelectronic interfaces and materials; Theory of unconventional computing; Reservoir and in-materio computing.
- Apply everything to a real case: Biohybrid systems and robotics; Research design, reproducibility and open science; Ethics, governance and responsible communication; Master's thesis project.
- Complete a final project reviewed by your instructor.
3.3Competences you will gain
- Design and run electrophysiology experiments on fungal mycelium.
- Apply signal processing and machine learning to biosignals responsibly.
- Build and characterize mycelium sensors and bioelectronic interfaces.
- Evaluate unconventional computing proposals against rigorous benchmarks.
- Communicate frontier research results without overclaiming.
Student profile
4.1Who it is for (entry profile)
Graduates in engineering, physics, computing or biology.
4.2Entry requirements
Prior completion of a related course or diploma, or professional experience in engineering, physics, computing or biology, is expected; programming in Python is required.
4.3Career paths (exit profile)
- Research assistant or associate in bioelectronics
- Doctoral candidate in biocomputing or bioelectronics
- R&D engineer at a biosensor or biohybrid start-up
- Data scientist for biosignal analysis
- Technical lead on unconventional computing projects
- Science communicator on frontier technology
Outcomes depend on your experience and on your local market.
Study plan
5.1Overall structure (modules and workload)
| Module | Title | Phase | Topics | Hours |
|---|---|---|---|---|
| 01 | Fungal cell biology and physiology | Foundations | 3 | 36 |
| 02 | Ion transport and electrical phenomena in fungi | Foundations | 3 | 36 |
| 03 | Electrophysiology instrumentation | Foundations | 3 | 36 |
| 04 | Signal processing and machine learning for biosignals | Foundations | 3 | 36 |
| 05 | Mycelium sensors and transducers | Practice | 3 | 36 |
| 06 | Bioelectronic interfaces and materials | Practice | 3 | 36 |
| 07 | Theory of unconventional computing | Practice | 3 | 36 |
| 08 | Reservoir and in-materio computing | Practice | 3 | 36 |
| 09 | Biohybrid systems and robotics | Application & project | 3 | 36 |
| 10 | Research design, reproducibility and open science | Application & project | 3 | 36 |
| 11 | Ethics, governance and responsible communication | Application & project | 3 | 36 |
| 12 | Master's thesis project | Application & project | 3 | 36 |
| Total | 432 |
12 modules × 36 hours = 432 hours: 80 hours of live sessions, and the rest for campus study, exercises and the final project.
5.2Content by module
Hover or tap a module to follow the path from the first session to the final project. Open a module to see the topics it covers.
- Hyphal structure and growth
- Fungal metabolism
- Cell signaling pathways
- Membrane transporters and pumps
- Electrical potentials in hyphae
- Spike-like activity and its interpretation
- Electrodes and arrays
- Amplification and acquisition
- Noise control and validation
- Filtering and feature extraction
- Machine learning classifiers
- Avoiding overfitting and leakage
- Sensing modalities
- Transducer design
- Calibration and lifetime
- Electrode–tissue interfaces
- Mycelium as a substrate
- Device integration
- Computation in physical systems
- Analogue and neuromorphic approaches
- Limits of unconventional computing
- Reservoir computing principles
- In-materio computing experiments
- Benchmarking living reservoirs
- Biohybrid control loops
- Robotic platforms with mycelium
- Reliability and lifespan
- Hypothesis and pre-registration
- Replication and statistics
- Open data and code
- Ethical questions in living technology
- Governance of biohybrids
- Communicating frontier results
- Research proposal
- Experimental work and analysis
- Thesis write-up and defense
5.3Company placement
This program does not include a company placement. Practice is built into every module through exercises, case studies and the final project.
5.4Final project
An independent research thesis on fungal bioelectronics or computing, presented in publication format with open data and code.
Methodology
6.1How it is taught
- Live online sessions, usually weekly, with a working professional and a small group.
- Recordings of every session, so you can catch up if work or time zones get in the way.
- Exercises and real case studies in every module.
- Tutoring: your instructor answers questions and gives feedback on your exercises and project.
6.2Platform and resources
A Moodle virtual campus with session recordings, readings, exercises and forums for each module. You need a computer, an up-to-date browser and a stable connection; a webcam and microphone are recommended.
Technical requirements →6.3Estimated weekly workload
About 11 hours a week for 40 weeks: one 2-hour live session on a weekday evening, plus study and exercises on the campus at your own pace.
Assessment
7.1Assessment system and weighting
Progress is assessed through participation in live sessions, practical and analytical exercises in each module and a master's thesis reviewed by the instructor.
7.2Requirements to pass
- Complete every module, by attending the live sessions or watching the recordings.
- Hand in the module exercises.
- Have your final project approved by your instructor.
Teaching team
8.1Academic direction
At Fungaris, the Fungal Computing school coordinates the content and quality of this program. The academic director of each intake is named in the intake guide.
8.2Faculty
Taught by professionals who work in the field. The instructor for each intake is confirmed before the start.
Meet our faculty →Certificate
9.1Certificate awarded
Master Certificate
On completing the program and its project, Fungaris issues a Master Certificate. Fungaris certificates are the institute's own. Whether an employer, school or authority recognizes them depends on that organization and on local rules in each country.
9.2Issuing body / recognition
Issued by Fungaris (operated by Nexora Generation, S.L.) as a digital certificate. It is a Fungaris certificate of its own: it is not an official university degree and does not award ECTS credits.
About our certificates →Admission and enrollment
10.1Admission process (steps)
- Send your request through the form or write to admissions.
- Admissions reviews your profile and confirms the start date, the session schedule and the fee.
- You secure your place with full payment or a 40% reservation.
- You receive your campus access and welcome guide before the first session.
10.2Documents required
- A valid identity document.
- Contact and billing details (personal or company).
- A short résumé or a description of your experience in the field.
10.3Deadlines
Enrollment for the intake starting on February 1, 2027 is open until January 25, 2027, or until the group is full (maximum 20 students).
10.4Fee and payment options
Fee: $3,350
- Full payment before the start: $2,680 (20% reduction).
- 40% reservation ($1,340) and 10 monthly installments of $201.
10.5Grants, discounts and funding
Discounts: 10% for Fungaris alumni and 15% for groups of three or more people from the same organization. Discounts cannot be combined with each other or with the full-payment reduction.
Your employer can pay for the program and receive the invoice in the company name. Whether a public or employer training budget can cover the fee depends on your country, so check with them.
10.6Cancellation policy
The conditions for canceling, withdrawing or moving to a later intake are explained in our cancellation policy and in your enrollment confirmation. Nothing there limits your rights under the consumer law that applies to you.
Cancellation and refunds →Additional information
11.1Frequently asked questions
Do I need experience to study Master in Fungal Bioelectronics and Computing?
Prior completion of a related course or diploma, or professional experience in engineering, physics, computing or biology, is expected; programming in Python is required.
How is Master in Fungal Bioelectronics and Computing taught?
Live online, in 12 modules with a working professional, a small group and a final project.
How am I assessed?
Progress is assessed through participation in live sessions, practical and analytical exercises in each module and a master's thesis reviewed by the instructor.
What is the final project?
An independent research thesis on fungal bioelectronics or computing, presented in publication format with open data and code.
What certificate do I get?
On completing the program and its project, Fungaris issues a Master Certificate. Fungaris certificates are the institute's own. Whether an employer, school or authority recognizes them depends on that organization and on local rules in each country.
11.2Alumni testimonials
We only publish verified testimonials from real students. This program does not have any published yet; they will appear here once its first intakes finish.
11.3Admissions contact
Write to info@fungaris.institute or use the contact form. Admissions answers in your language.
Keep branching.
Join the next intake.
Pay in full with a 20% reduction, or reserve your place with 40% and pay the rest in monthly installments. All prices are stated in US dollars (USD).