Engineering & Technology
Internet of Things and Big Data
Internet of Things (IoT) and Big Data explores how billions of connected devices generate massive streams of information and how to process it. Students learn to design sensor networks, embed microcontrollers, and build the backend systems that ingest and analyze this real-time data. The program bridges hardware engineering with advanced data analytics and cloud computing.
Program objectives
- 01Design and program IoT devices using microcontrollers and sensors.
- 02Understand wireless communication protocols for connected devices.
- 03Build scalable backend architectures to ingest and store massive data streams.
- 04Apply big data analytics to extract actionable insights from IoT sensor data.
Why choose this program
Cutting-edge technology
You will be working at the forefront of smart cities, wearable tech, and industrial automation.
Interdisciplinary skill set
Combines hardware, networking, and software, making you a versatile engineer.
Massive future growth
The number of connected devices is exploding, creating a huge need for engineers who understand the ecosystem.
Skills you'll build
- Embedded systems programming (C/C++)
- IoT protocols (MQTT, CoAP)
- Cloud platforms (AWS IoT, Azure)
- Big data processing frameworks
- Systems thinking
- Creativity in problem-solving
- Adaptability
- Project management
Tools & software
- Arduino/Raspberry Pi
- Python
- AWS IoT Core
- Hadoop/Spark
- MQTT brokers
Challenges to expect
Academic
- Bridging the gap between low-level hardware programming and high-level data analytics.
- Understanding complex network topologies and wireless signal interference.
Technical
- Debugging hardware-software integration issues can be highly frustrating and time-consuming.
Financial
- Buying sensors, microcontrollers, and cloud computing credits for projects adds up.
Personal
- The field moves incredibly fast, requiring constant self-study to keep up with new protocols and devices.
Tips from the field
- Buy a basic microcontroller kit and start building small home automation projects immediately.
- Focus heavily on networking fundamentals, as IoT is entirely dependent on reliable data transmission.
- Learn a cloud platform's IoT suite as most enterprise IoT solutions are cloud-hosted.
Career paths
- IoT Engineer
- Embedded Systems Engineer
- Big Data Architect
- Smart Systems Developer
- Network Engineer
Where you can study this
| Name | Latest cutoff | Tuition (annual) |
|---|---|---|
| Ghana Communication Technology UniversityBSc | — | GHS 4,040–5,980 |
FAQs
Will I be building physical hardware?+
Yes, you will work with microcontrollers, sensors, and embedded systems to build the physical devices that collect data.
How much programming is involved?+
A significant amount. You will write low-level code for devices (C/C++) and high-level code for the backend servers (Python, Java) that process the data.
What industries hire graduates from this program?+
Almost any sector, including smart home manufacturing, automotive, agriculture, healthcare, and industrial logistics.
Is networking important for IoT?+
It is critical. You must understand wireless protocols like Wi-Fi, Bluetooth, MQTT, and LoRaWAN to get devices to communicate reliably.
What happens to all the data the devices collect?+
You will learn to route that data into cloud databases and apply big data analytics to find patterns, predict maintenance needs, or automate responses.
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