Industry-supported learning

Where emerging technology
becomes practical experience.

The School’s published Centres of Excellence connect academic learning with industry-supported laboratories in blockchain, the Internet of Things, cloud computing, data and information infrastructure.

Industry + Academia Applied Learning Network
Blockchain
Internet of Things
Cloud & Data
Published School portfolio Three industry-supported centres
01 Blockchain Associated with DLT Labs
02 Internet of Things Associated with Preva Systems
03 Academic Excellence Associated with EMC
Centres of Excellence

Three environments for
technology-led learning.

Each centre adds a different dimension to practical computing education—from distributed systems and connected devices to cloud, data and information-management technologies.

01
Associated industry DLT LABS
Centre of Excellence in Blockchain

Exploring distributed-ledger technologies through an industry-supported environment.

The School describes the DLT Labs Centre of Excellence as an initiative involving the Industry Engagement Centre, Training and Placement, the School of Computer Science & Engineering and KIIT Technology Business Incubator.

Distributed-ledger concepts Industry engagement Innovation ecosystem
02
Associated industry PREVA SYSTEMS
Centre of Excellence in IoT

Developing the understanding required to choose, connect and deploy IoT technologies.

The published description identifies three areas of skill development in addition to domain knowledge: understanding an IoT platform, selecting an appropriate IoT device and developing the ability to deploy it in the field.

Platform understanding Device selection Field deployment
03
Associated industry EMC
Centre of Academic Excellence

An open-curriculum approach to cloud, data and information infrastructure.

The School’s published laboratory information describes learning in cloud computing, big-data analytics, information storage and management, and backup and recovery systems and architecture.

Cloud computing Big-data analytics Storage and recovery

Centre names, associated industries and published focus areas above are retained from the School’s Industry Supported Laboratories listing.

Open laboratories page
Applied learning model

From concept
to capability.

Industry-supported environments add practical context to classroom learning and help students understand how technologies are selected, implemented and used.

Explore academic programmes
01
Build the foundation

Learn

Understand concepts, architectures, terminology and the purpose of the technology.

02
Test the ideas

Experiment

Use laboratories and guided activities to connect theoretical understanding with implementation.

03
Apply the knowledge

Build

Develop solutions, prototypes or project work around practical computing challenges.

04
Understand practice

Connect

Relate technical learning to industry contexts, current applications and professional expectations.

Technology domains

Connected areas of
modern computing.

Together, the centres cover technologies that support trusted digital systems, connected environments, scalable computing and data-driven applications.

01

Distributed Systems

Concepts surrounding blockchain and distributed-ledger technology.

02

Connected Devices

Platforms, devices and field deployment within Internet of Things environments.

03

Cloud Infrastructure

Scalable computing platforms and the architecture supporting digital services.

04

Big-data Analytics

Approaches for understanding and working with large, complex data environments.

05

Information Storage

Storage, information-management and infrastructure concepts.

06

Backup & Recovery

Systems and architectural thinking for continuity and recovery.

Why industry-supported laboratories matter

A wider context for
academic learning.

The School describes these collaborations as a way to strengthen industry interaction and help students gain practical knowledge and real-time exposure to technological trends.

01

Industry context

Learning is placed alongside the technologies, terminology and implementation concerns used in practice.

02

Practical exposure

Laboratory environments create opportunities to move beyond conceptual knowledge.

03

Project thinking

Students can relate technologies to design choices, deployment and real computing problems.

04

Professional readiness

Exposure to applied technology supports informed academic and career development.

Common questions

About the centres

The page presents the Centres of Excellence currently documented in the School’s public Industry Supported Laboratories section.

Are the Centres of Excellence separate degree programmes?

No. They are industry-supported academic and laboratory environments. The School’s degree programmes are listed separately on the Programmes page.

View programmes
Which centres are currently published by the School?

The published list contains the Centre of Excellence in Blockchain associated with DLT Labs, the Centre of Excellence in IoT associated with Preva Systems and the Centre of Academic Excellence associated with EMC.

Where can visitors find information on all School laboratories?

The Laboratories page includes the academic laboratories, research laboratory and industry-supported laboratories published by the School.

Explore laboratories
How are new centres or partnerships added to this page?

New information should be added only after the School confirms the centre name, partner organisation, active status and approved description.

School of Computer Engineering

Build knowledge through
learning and application.