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Neurovidya Academic Architecture - 2027
Our term structure, course catalogue, certificate pathways and mentored research opportunities—beginning January 2027.
Annual semester structure
| Term ID | Term | Period |
|---|---|---|
| SP1 | Spring Term 1 | January–February |
| SP2 | Spring Term 2 | March–April |
| SU | Summer | May–July |
| FA1 | Fall Term 1 | August–September |
| FA2 | Fall Term 2 | October–November |
| WI | Winter | December |
One shared course catalogue
Enroll your way
Learners can enroll in individual courses or combine designated courses into a qualification. Each scheduled course is taught and assessed once, regardless of the award a learner is pursuing. Not every course needs to contribute to a certificate or diploma.
Two certificates
Professional Certificates are offered in Computational Neuroscience and Neurotechnology. The diploma will be released soon.
Built to scale
Recorded teaching, reusable notebooks and assignments, discussion forums and shared live tutorials will support a small core staff. Project places will depend on available implementation mentors.
Research every term
Research Training Project will be offered every term, with a project menu published at the beginning of the term and enrolment subject to readiness and mentoring capacity.
January to July 2027
Six terms, one catalogue. Here is what January to July looks like.
| Period | Courses and activities with IDs | Delivery or purpose |
|---|---|---|
| SP1January–February | NS101Neuroscience FoundationsCounts towards a Professional CertificateCS101Python for NeuroscienceCounts towards a Professional CertificateMA101Mathematics for NeuroscienceCounts towards a Professional CertificateMA102Clinical Study Design and Data AnalysisCL101AI for Medical Analysis 1NT101Intro to NeurotechnologyCounts towards a Professional CertificateRP201Research Training ProjectSH101Young Computational Neuroscience Program |
|
| SP2March–April | CN201Neuron and Network ModellingCounts towards a Professional CertificateCN203Neural Data AnalysisCounts towards a Professional CertificateMA301Advanced Statistics for NeuroscienceCL102AI for Medical Analysis 2CL201Computational Modeling of Stroke RehabilitationCN202Biophysical Neural ModelingNT201Introduction to Brain Computer Interface and NeuromodulationCounts towards a Professional CertificateSH101Young Computational Neuroscience ProgramRP201Research Training Project |
|
| SUMay–July | RP301Research Training ProjectCounts towards a Professional Certificate |
|
Tentative offerings for August to December
Fall term structure and requirements will be released shortly.
August–September
October–November
December
International faculty contributions
Bankim Subhash Chander
Spring Term 1
Srikanth Ramaswamy
Spring Term 2
Detailed syllabi, live session dates, assessments and mentoring commitments will be agreed with them. Any further fall contributions remain tentative.
Other independent offerings
Clinical courses include movement disorders and digital measurement, neurorehabilitation and exergames, sleep signals and interpretation, and AI for clinical neuroscience. Psychometric Testing, Sensation and Perception, Foundations of Computational Psychiatry, and Neuroscience of Beauty and Architecture may also enter the catalogue when faculty and demand support them.
These are possibilities rather than a published launch schedule.
Research Training Project
Research Training Project follows the mentored project approach. At the start of each term, publish a small menu stating the research question, prerequisites, duration, dataset or model, named mentor, available places, milestones and expected outputs. Learners apply to a project and are admitted according to preparation and mentoring capacity.
What each project menu states
Research question
Prerequisites
Duration
Dataset or model
Named mentor
Available places
Milestones
Expected outputs
One to three months
| Course ID | Duration | Applicable terms |
|---|---|---|
| RP101 | 1 month | WI — December |
| RP201 | 2 months | SP1, SP2, FA1 and FA2 |
| RP301 | 3 months | SU — May–July; also FA2 + WI for October–December projects |
RP201 is used only for the two month terms, RP101 only for winter, and RP301 for the three month summer window or an approved October–December project spanning FA2 and WI.
Vacation training
College vacation research training runs in June–July. A full summer RP301 project begins in May and ends in July; shorter vacation activities should be described separately rather than assigned an incorrect RP duration code.
Student records and transcripts
Each learner has a permanent student ID. Each offering records its course ID, year, term and section, for example CS101-2027-SP1-01. Repeated offerings retain the course ID but receive distinct offering IDs. Retain actual dates, results and separate attempts for repeated courses.
A three month October–December project uses RP301-2027-FA2WI-01. Project records include duration, difficulty, title and mentor. Transcripts show the course or program ID and title, year, term, result and completion status.
Course ID prefixes and numbering
Neurovidya will use a fixed set of subject prefixes and a single course register. Assign each course to the family that best describes its main learning objective.
Subject prefixes
Subject course numbering
Use the format XXNNN: a subject prefix followed by a three digit number. For subject courses, 100–199 identifies foundation courses, 200–299 intermediate courses, and 300–399 advanced courses. The remaining digits distinguish courses within a family and level; they do not establish prerequisites.
For example, MA101 is Mathematics for Neuroscience, MA102 Clinical Study Design and Data Analysis, and MA301 Advanced Statistics for Neuroscience. CN201, CN202 and CN203 identify three intermediate computational neuroscience courses. State prerequisites separately in the course syllabus.
Offering ID anatomy
Project and program codes
RP is an exception to subject level numbering: RP101, RP201 and RP301 indicate one, two and three months respectively. NGS101 identifies Neurogati Summer School; NGW101 identifies Neurogati Winter School. Further SH numbers will identify individual school courses once their titles and scopes are finalised.
Computational Neuroscience
Neurotechnology