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Multidisciplinary Courses

MDC allotment software for Multidisciplinary Course allocation

Most colleges already ask students to submit three ranked MDC preferences — and then allot seats first-come-first-served, throwing those preferences away. Allotix honours the preferences students actually gave you, resolves them on merit against real seat capacity, and produces a result you can explain.

You collect three preferences. Then you ignore them.

The standard MDC process asks each student for three ranked choices, and then hands seats to whoever submits first. The preference form is theatre: the outcome is decided by connection speed.

  • Ranked preferences collected, then discarded at allotment
  • Seats go to the fastest clicker, not the strongest fit
  • Predictable server stampede the minute the portal opens
  • Students in labs or on slow connections are structurally disadvantaged
  • Exclusion rules (Major, Minor, class-12 subjects) checked manually
  • Final list printed and pinned to a noticeboard, with no audit trail
  • Cluster-college MDC seats tracked in a separate spreadsheet entirely

How it works

How Allotix runs mdc allotment

1

Import the MDC pool and seat matrix

Load every Multidisciplinary Course your college and cluster offer, with per-course and per-department seat capacity, including shared capacity pools.

2

Open a preference window, not a race

Students rank their eligible MDC options at any point in the window. Submitting on the first minute confers no advantage over the last, which removes the stampede entirely.

3

Exclusion rules applied automatically

A student's Major, Minor and class-12 subjects are excluded from their eligible list before they ever see it, so an invalid preference cannot be submitted or allotted.

4

Allot on merit and publish with reasons

Allocation processes students in CGPA order, walking each student's ranked list until an eligible course with a free seat is found. Every outcome is traceable to a rule.

What you get

Built for this allocation, not adapted to it

  • Ranked MDC preferences that are actually honoured
  • CGPA-based merit priority replaces first-come-first-served
  • Native NEP exclusion rules (≠ Major, ≠ Minor, ≠ class-12 subject)
  • Per-course and per-department seat capacity, fixed or shared
  • No portal stampede — allocation runs after the window closes
  • Preference-rank distribution and unallocated-student reports
  • Downloadable allotment list and per-student acknowledgement

FAQ

MDC allotment — frequently asked questions

What is MDC allotment?

MDC allotment is the process of assigning students to Multidisciplinary Courses under the NEP-2020 Four-Year Undergraduate Programme. MDC courses carry three credits each, typically totalling nine credits across the first three semesters, and each student must take them outside their Major discipline. Because each course has a limited number of seats and students choose from a pool, allotment is a capacity-constrained allocation problem.

How do we stop our MDC portal from crashing every semester?

The crash is a symptom of first-come-first-served, not of an undersized server. When the outcome depends on submitting first, every student loads the portal in the same sixty seconds. Move allocation to after the window closes — as Allotix does — and the incentive to stampede disappears, because a preference submitted on the last day is treated identically to one submitted on the first.

Can Allotix handle MDC across cluster colleges?

Shared capacity pools are already part of the allocation engine, which is the core of what cluster-college MDC requires: students from one college competing for seats offered by another, against a shared seat matrix. Talk to us about your cluster's structure and we will walk through how it maps onto an Allotix event.

How does Allotix decide who gets their first preference?

Students are processed in CGPA order. For each student, the engine walks their ranked list from the top and allots the first course that they are eligible for and that still has a free seat. This is transparent, defensible, and produces a distribution report showing exactly how many students received their first, second or third choice.