Master of Science in Computer Science Engineering (MSCSE)
Program Overview
The Master of Science in Computer Science Engineering (MSCSE) at Lordland University is designed to provide students with advanced technical knowledge, business acumen, and ethical leadership grounded in Christian values. The program integrates the latest technological advancements in fields such as robotics, drone technology, artificial intelligence (AI), cybersecurity, and data analytics. Additionally, it combines these technical skills with business strategies and ethical computing practices, ensuring that students are not only proficient in technology but also equipped to lead with integrity in their professional careers.
The MSCSE program focuses on robotics and drone technology, preparing students to develop autonomous systems, intelligent machines, and UAV applications that are transforming industries such as agriculture, defense, logistics, healthcare, and urban development. Through this blend of cutting-edge technology and ethical principles, the program empowers students to become leaders in the field, capable of contributing to the advancement of industries while promoting responsible, faith-guided innovation.
Program Learning Outcomes (PLOs)
Upon completion of the MSCSE program, graduates will:
- Apply Advanced Computing & Robotics Principles – Design intelligent systems, robotic algorithms, and AI-driven automation for real-world applications.
- Integrate Business & Technology Strategies – Utilize computer science, drone technology, and AI to enhance business operations, logistics, and strategic planning.
- Develop AI, Robotics & UAV Systems – Create autonomous drones, self-learning robots, and robotic process automation for various industries.
- Enhance Cybersecurity & Data Privacy – Implement secure network protocols, cryptographic techniques, and ethical AI practices in emerging technologies.
- Master Cloud, IoT & Big Data Analytics – Deploy high-performance computing solutions that leverage cloud infrastructure, edge computing, and smart sensors.
- Apply Christian Ethics in Technology – Demonstrate faith-driven leadership by ensuring technological advancements align with moral values, responsible AI, and social impact.
- Advance Computational Research & Innovation – Conduct scientific research in robotics, automation, and drone technology to push the boundaries of engineering and ethical AI.
- Communicate Effectively in Teams – Work collaboratively in interdisciplinary teams to solve complex computing and engineering challenges.
Graduation Requirements
To earn the MS in CSE degree, students must:
- Complete 60 credits.
- Maintain a minimum GPA of 3.0 on a 4.0 scale.
- Successfully complete all coursework and the capstone project.
- Present a faith-integrated technology research project focused on robotics, drones, AI, or cybersecurity.
MSCSE Curriculum Structure
Course Category | Courses | Credits |
---|---|---|
Core Curriculum | 8 courses | 32 credits |
Specialization Courses | 6 courses | 24 credits |
Capstone Project | 1 course | 4 credits |
Total | 15 courses | 60 credits |
Core Curriculum (32 Credits)
Course Code | Course Title | Credits |
---|---|---|
MSCSE600 | Advanced Computer Science Engineering | 4 |
MSCSE601 | Software Engineering & Design Patterns | 4 |
MSCSE602 | Data Structures and Algorithm Optimization | 4 |
MSCSE603 | Cloud Computing & Distributed Systems | 4 |
MSCSE604 | Cybersecurity & Ethical Hacking | 4 |
MSCSE605 | Artificial Intelligence & Deep Learning | 4 |
MSCSE606 | Big Data Analytics & Data Science | 4 |
MSCSE607 | Business Strategy for Tech Leaders | 4 |
Specialization Tracks (24 Credits)–Choose 6 Courses
Robotics & Drone Technology Track
Course Code | Course Title | Credits |
---|---|---|
MSCSE620 | Fundamentals of Robotics & Autonomous Systems | 4 |
MSCSE625 | Drone Technology & UAV Systems | 4 |
MSCSE630 | AI & Machine Learning for Robotics | 4 |
MSCSE635 | Embedded Systems & IoT for Smart Machines | 4 |
MSCSE640 | Autonomous Vehicle Navigation & Control | 4 |
MSCSE645 | Swarm Robotics & Multi-Agent Systems | 4 |
Cybersecurity & Cloud Computing Track
Course Code | Course Title | Credits |
---|---|---|
MSCSE650 | Cybersecurity Risk Management | 4 |
MSCSE655 | Cloud Security & Compliance | 4 |
MSCSE660 | Digital Forensics & Incident Response | 4 |
MSCSE665 | Network Security & Firewalls | 4 |
Software Development & AI Track
Course Code | Course Title | Credits |
---|---|---|
MSCSE670 | Python & Object-Oriented Programming | 4 |
MSCSE675 | AI & Neural Networks for Automation | 4 |
MSCSE680 | Blockchain & Cryptographic Systems | 4 |
MSCSE685 | Full-Stack Web Development | 4 |
Data Science & Analytics Track
Course Code | Course Title | Credits |
---|---|---|
MSCSE690 | Predictive Analytics & Data Mining | 4 |
MSCSE695 | Big Data Management & Processing | 4 |
MSCSE700 | Statistics for Data Science | 4 |
MSCSE705 | Natural Language Processing (NLP) | 4 |
Capstone Project (4 Credits)
Course Code | Course Title | Credits |
---|---|---|
MSCSE710 | Applied Robotics & AI Capstone Project | 4 |
Faith-Based Leadership in Technology
- At Lordland University, we emphasize a Christian approach to technology leadership, integrating faith-driven decision-making, ethical AI, and responsible computing into the curriculum.
- Technology as a Tool for Good – Ensuring that advancements in robotics, drones, AI, and cybersecurity align with Christian morals and values.
- Servant Leadership in Tech – Following Biblical principles, students learn to lead with humility, integrity, and ethical responsibility.
- Ethical AI & Robotics – Upholding human dignity in automation, AI decision-making, and UAV applications.
- Digital Transformation & Global Stewardship – Using technology to improve lives, bridge digital divides, and promote social good worldwide.
Why Choose the MSCSE Program at Lordland University?
- Cutting-Edge Robotics & AI – Learn from industry experts in robotics, drone technology, AI, and automation.
- Business & Leadership Integration – Develop strategic thinking and ethical leadership alongside technical expertise.
- Faith-Based & Ethical Computing – Align Christian values with scientific research and responsible AI.
- Industry-Oriented Learning – Hands-on capstone projects, robotics labs, and drone testing.
- Flexible Learning Model – Designed for working professionals, offering online, hybrid, and in-person options.
The Master of Science in Computer Science Engineering (MSCSE) at Lordland University is designed to equip students with a unique blend of advanced technical expertise, business acumen, and Christian ethical values. This program prepares graduates to become innovative leaders in fields such as robotics, artificial intelligence, cybersecurity, and drone technology. The integration of cutting-edge engineering principles with business strategies ensures that students are not only proficient in solving complex technical problems but also adept in leading with integrity and purpose. By upholding Christian principles, students are guided to drive technological advancements that contribute to the greater good, fostering ethical decision-making and responsible innovation in the digital age.