Doctor of Philosophy In Space Science and Technology

PhDDoctoralNatural Sciences

About This Programme

The Doctor of Philosophy (PhD) in Space Science and Technology at the University of Sharjah is a premier research-driven program designed to cultivate global leaders in space exploration and scientific innovation. Offered in collaboration with the Sharjah Academy for Astronomy, Space Sciences, and Technology (SAASST), the program integrates advanced coursework in Astrophysics, Geographic Information Systems (GIS), Remote Sensing (RS), space weather, and satellite technology with hands-on research in state-of-the-art facilities. Students engage in practical sessions at SAASST’s cutting-edge laboratories, including the CubeSat Laboratory, Radio Astronomy Observatory, and Space Artificial Intelligence Lab, to bridge theoretical insights with real-world applications. This PhD prepares graduates for impactful careers in academia, industry, and government by fostering expertise in analyzing celestial phenomena, mapping planetary surfaces, and leveraging spatial data, contributing to the UAE’s ambition to lead in space science and technology.

Course Highlights

  • 54 credit hours
  • Taught in English
  • College of Sciences
  • Department of Applied Physics and Astronomy
  • Offered in collaboration with SAASST
  • Study system: Courses and Theses
  • Full-time study
  • AED 5,330 per credit hour

What You'll Study

• Compulsory Courses (12 credit hours) • Elective Courses (12 credit hours) • Thesis (30 credit hours) • Qualifying Exam (Zero credit hours) • Seminar (Zero credit hours) • Compulsory courses (42 credit hours) The programme page lists the study mode as full time; the programme document linked from the page gives full-time or part-time and a minimum duration of 3 years.

Compulsory Courses

Compulsory courses (42 credit hours: 12 for the courses and 30 for the Ph.D. dissertation)

  • 1430720Advanced Space Science and Technology3 credits

    This course acts as a pivotal gateway within the broader PhD program, providing a comprehensive introduction to key pillars of space exploration. Covering celestial mechanics, computational techniques, research methodology, and data analysis, it establishes the groundwork for subsequent specialization in three focused tracks: Astrophysics, Space Sciences, and Remote Sensing. By delving into these fundamental aspects, students gain a robust foundation, enabling them to embark on advanced research endeavors and contribute meaningfully to the evolving landscape of space science and technology. This course is designed to instill a holistic understanding of the intricacies involved in space exploration, paving the way for students to pursue more in-depth studies aligned with their specific interests and career aspirations.

  • 1430740Advanced Computational Techniques3 credits

    This advanced course is designed to provide students with an in-depth understanding of advanced computational techniques applied in astrophysics. The course will cover a broad range of topics, including numerical simulations, data analysis, machine learning applications, and high-performance computing specific to the field of astrophysics. The emphasis will be placed on practical applications and hands-on experience with real astronomical datasets.

  • 1430750Advanced Celestial Mechanics3 credits

    This advanced celestial mechanics course is designed to provide a comprehensive and in-depth understanding of complex celestial systems and advanced mathematical techniques used in the analysis of celestial dynamics. The course covers a wide range of topics, including perturbation theory, n-body problems, relativistic effects, and applications in exoplanetary systems. This course goes beyond the fundamentals and dives into the complexities of celestial systems, and orbital mechanics.

  • 1430780Research Methodology and Data Analysis3 credits

    This PhD course provides comprehensive training in research methodologies (quantitative, qualitative, and mixed methods), data collection techniques, and advanced data analysis. Students will learn to critically evaluate research designs, manage and analyze data using software tools, and navigate ethical considerations in research. Upon completion, students will have sharpened their skills in Research Methodology and Data Analysis, delving into advanced scientific argumentation, literature review techniques, and data analysis methods. By the completion of this course, students will have sharpened their skills in Research Methodology and Data Analysis, delving into advanced scientific argumentation, literature review techniques, and data analysis methods. Practical exercises will focus on scientific writing and editing using several editors and citation managers, while also emphasizing the structuring of papers according to journal requirements. Students will develop effective communication and presentation skills, essential for conveying research findings in a scholarly manner.

  • 1430790Qualifying Exam0 credits

    This course is a pivotal assessment designed to evaluate a student’s mastery of foundational knowledge and research readiness in the field. This rigorous examination encompasses compulsory courses. Students are expected to demonstrate critical thinking, problem-solving skills, and the ability to synthesize interdisciplinary concepts through written and oral components. Successful completion of the exam marks the transition from coursework to independent research, preparing candidates to contribute original advancements in areas like stellar evolution, planetary exploration, or space technology development.

  • 1430798Seminar0 credits

    The PhD Seminar course is designed to develop students’ academic communication, critical thinking, and professional engagement skills. Through regular presentations, discussions, and peer feedback, students will showcase their ongoing research, analyze cutting-edge advancements in their field, and engage with interdisciplinary perspectives. The course fosters a collaborative environment for students to refine their ability to present complex ideas clearly, critically evaluate peer contributions, and respond constructively to feedback. It also prepares students for academic conferences and professional interactions.

  • 1430799Thesis30 credits

    The PhD thesis serves as the culmination of a student’s doctoral journey, representing a comprehensive account of their research contributions. It is designed to not only present the detailed results and methodologies of the research conducted during the program but also to position these findings within the broader context of the chosen research field. The thesis should critically assess the current state of knowledge, highlight the significance of the research, and identify how it addresses existing gaps or challenges. Furthermore, the thesis should provide a forward-looking perspective, discussing the potential long-term outcomes and implications of the research. This document will reflect the student’s ability to engage with complex scientific problems, contribute original insights, and articulate their findings with clarity and depth, serving as both a scholarly achievement and a meaningful contribution to the field.

Elective Courses (12 credit hours)

  • 1430710Advanced Stellar Astrophysics3 credits

    By the end of this course, students will have gained a profound understanding of Advanced Stellar Astrophysics, exploring phenomena such as stellar evolution, nucleosynthesis, and compact objects. By examining pulsars, supernovae, and gravitational interactions, students will delve into the intricacies of stellar dynamics and populations. Additionally, analysis of stellar atmospheres and stellar spectra will illuminate the fundamental processes driving the life cycles of stars.

  • 1430711Advanced Radio Astronomy3 credits

    Advanced Radio Astronomy is a course designed to give an in depth understanding of the detection, measurement and analysis of radio emissions from astronomical sources. The course covers the entire radio regime of the electromagnetic spectrum and emphasizes studying the physical processes driving these emissions and their interpretation. Students will learn the theoretical and practical techniques needed for modern radio astronomical research through advanced lectures, rigorous quantitative problem solving, hands on laboratory work, and the analysis of real world data from leading edge observatories. Participants will learn radio interferometry, spectral analysis, and imaging, and will learn the skills needed to apply advanced methods to complex astronomical systems. In addition, the course develops the capacity to communicate the results of sophisticated analyses effectively in academic and professional contexts.

  • 1430712High-Energy Astrophysics3 credits

    By the end of this course, students will grasp the intricate dynamics of High Energy Astrophysics, studying phenomena like synchrotron radiation, black hole accretion, and cosmic neutrinos. Through exploration of cosmic rays and radio sources, they'll deepen their understanding of the universe's energetic processes. Additionally, analysis of the cosmic microwave background will shed light on cosmic origins and evolution.

  • 1430713Cosmology and Large-Scale Structure3 credits

    By the end of this course, students will have been exposed in great detail to the science of Cosmology and the great-scale structures of the universe. Students will explore the Concordance Model and the expanding universe as well as gain profound insights into the fundamental equations shaping cosmic evolution. High-energy phenomena will be covered and discussed. Students will also develop a detailed comprehension of the cosmic microwave background.

  • 1430714Astrophysical Fluid Dynamics3 credits

    This is an interdisciplinary introduction to the theory of fluid dynamics for astrophysicists, physicists, and space scientists. The focus is on the physical and mathematical understanding of the governing equations of fluid mechanics and how they help us better understand the physical processes in the Universe.

  • 1430715Astro- and Cosmo-Particle Physics3 credits

    In this course, students are exposed to a realm of topics covering the integration of particle physics in the studies of cosmological and astrophysical phenomena. Students will develop a deeper understanding of the formation and development of the universe and cosmic structure formation and the associated high energy phenomenon. This course covers a precise focus on the role of particles in the early universe and their significance in forming the current state of the universe.

  • 1430721Solar & Environment Materials Technology3 credits

    This course explores the principles and applications of materials technology in the context of solar energy conversion and environmental considerations. It covers a wide range of topics, including the properties of materials relevant to solar technologies, their environmental impact, life cycle considerations, and the development of sustainable solutions. The course emphasizes hands-on learning through simulations, laboratory work, and practical applications.

  • 1430722Advanced CubeSat Systems Design3 credits

    This course provides an in-depth exploration of advanced concepts, methodologies, and emerging technologies in CubeSat system design. It equips students with the expertise to design, analyze, and implement innovative CubeSat solutions for scientific, commercial, and defense applications. The course integrates theoretical frameworks, simulation tools, and hands-on design practices, culminating in a comprehensive project presentation. Students will engage with state-of-the-art topics, including miniaturized avionics, advanced propulsion systems, power management, and integration of artificial intelligence in CubeSat operations.

  • 1430723Space Instrumentation and Technology3 credits

    Designing and developing instrumentation systems for space applications necessitates an interdisciplinary approach that integrates science and engineering. This course equips students with the skills to translate scientific inquiries into precise measurement specifications and to design and build instruments that meet these requirements. The course emphasizes the connection between scientific objectives and the technological solutions required to achieve them. Students will learn to define measurement requirements, select appropriate measurement methods, and establish the key characteristics of space instruments.

  • 1430730Advanced Planetary Science3 credits

    This advanced course in Planetary Science is designed to explore the complexities of planetary systems, their formation, evolution and dynamics. Covering a wide range of topics from planetary geology to atmospheres, the course aims to provide students with advanced knowledge and analytical skills necessary for high-end research in planetary science.

  • 1430731Exoplanetology3 credits

    This advanced course explores the cutting-edge field of exoplanetology and examines the latest advancements in the study of planets beyond our solar system. The course covers a range of interdisciplinary topics including astrophysics, planetary science, and instrumentation techniques. That focus promoting critical thinking, research skills and a deep understanding of exoplanetary systems.

  • 1430732Astrobiology3 credits

    This course will provide a scientific perspective on the story of life in the universe, from the origin of the universe to the origin and evolution of life on Earth, how life in turn has influenced the evolution of the Earth, and the prospects for life elsewhere. Topics include the origin of the Earth, the origin of life, the co-evolution of life and the Earth, habitability of planets, and the search for extraterrestrial life.

  • 1430751Orbital Mechanics3 credits

    Orbital mechanics is the basis for spacecraft mission design and is a key component of spacecraft engineering and operations. The basic principles of orbits and astrodynamics inform the designer with options for selecting orbits, maneuvers, and mission profiles that impact the eventual spacecraft design. Understanding orbit perturbations, trajectories, and maneuver needs guides the mission planner with selecting optimal orbit maintenance, rendezvous, and transfers to accomplish the ultimate goals of the mission. This information will then be used by the spacecraft and subsystem engineers to ensure that the spacecraft design can satisfy those requirements and achieve mission success. Once a spacecraft is on orbit, orbital mechanics is the foundation for tracking, orbit determination, and computing orbit corrections.

  • 1430760Astrostatistics and Data Analysis3 credits

    This course will cover applied statistical methods necessary to properly interpret today’s increasingly complex datasets in astronomy. Particular emphasis will be placed on principled statistical modeling of astrophysical data and statistical computation of inferences of scientific interest. Statistical techniques, such as Bayesian inference, sampling methods, hierarchical models, Gaussian processes, and model selection, will be examined in the context of applications to modern astronomical data analysis. Topics and examples will be motivated by case studies across astrophysics and cosmology.

  • 1430761Observational Astronomy Techniques3 credits

    This course integrates theoretical knowledge with hands-on experience, offering students a comprehensive understanding of contemporary observational methods in astrophysics. Emphasizing practical applications, students will operate optical telescopes and CCD systems, plan and execute observing runs, and process CCD data using Python. Collaborations with the Sharjah Astronomical Observatory provide unique opportunities for students to engage in cutting-edge research, utilizing advanced telescopes for spectroscopy of binary systems, transit photometry of exoplanets, and other astronomical observations. The course fosters a strong foundation in observational techniques, preparing students for innovative contributions to the field of space science and technology.

  • 1430770AI and Machine Learning in Remote Sensing3 credits

    This course provides an in-depth exploration of artificial intelligence (AI) and machine learning (ML) technologies in the context of remote sensing. It covers fundamental concepts, algorithms, and the latest advancements in applying AI and ML to analyze remote sensing data. Students will learn how these technologies are revolutionizing the way we interpret and leverage satellite and aerial imagery for environmental monitoring, urban planning, agriculture, climate change studies, and more. Through lectures, hands-on labs, and projects, students will gain practical experience in processing, analyzing, and visualizing remote sensing data using AI and ML techniques.

  • 1430771Acquisition and Exploration of Geospatial Data3 credits

    This course focuses on the methodologies and technologies involved in the acquisition and initial exploration of geospatial data. It covers a range of topics from the fundamentals of geographic information systems (GIS), remote sensing, to the practical aspects of collecting, analyzing, and visualizing spatial data. The course aims to equip students with the necessary skills to effectively gather and interpret geospatial information for various applications.

  • 1430772Advanced Geospatial Artificial Intelligence3 credits

    In this course, students will explore the theoretical underpinnings and practical applications of artificial intelligence in the context of geospatial data analysis and modeling. The curriculum covers a range of topics from the fundamentals of geospatial data acquisition and preprocessing to the implementation of sophisticated AI models like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and graph neural networks (GNNs) for spatial data.

  • 1430773Remote Sensing Applications and Emerging Technologies3 credits

    This advanced Ph.D.-level course explores the principles, applications, and cutting-edge developments in remote sensing within the context of space science and technology. Students will delve into the theoretical foundations of remote sensing, including electromagnetic radiation, sensor design, and data acquisition from space-based platforms. The course emphasizes practical applications such as Earth observation, planetary surface mapping, atmospheric monitoring, and astrophysical data collection, with a focus on interpreting multispectral, hyperspectral, and radar imagery. Emerging technologies, such as artificial intelligence for image processing, small satellite constellations (e.g., CubeSats), and quantum sensing, are examined for their transformative potential in enhancing resolution, efficiency, and data analysis. Through lectures, case studies, and hands-on projects using real-world datasets, students will develop skills to design remote sensing experiments, evaluate technological innovations, and address challenges like climate change, resource management, or exoplanetary exploration. This course prepares students to lead research and development in remote sensing, bridging scientific inquiry with technological advancement in the space domain.

What You'll Learn

In the PhD in Space Science and Technology program, students will develop advanced expertise in Astrophysics, Geographic Information Systems (GIS), Remote Sensing (RS), and related disciplines, equipping them to address complex challenges in space science. Through specialized coursework and practical sessions at SAASST, you will master techniques such as stellar and galactic analysis, spatial data processing for planetary mapping, and remote sensing for atmospheric and surface studies. The program emphasizes rigorous research methodologies, enabling you to design innovative experiments, analyze high-resolution datasets, and contribute original insights to fields like high-energy astrophysics and ionospheric studies. You will gain hands-on experience with tools like radio interferometry, CubeSat development, and GIS software in SAASST’s advanced facilities, including the Meteorite Center and Optical Observatory. Additionally, you will learn to collaborate with international space research networks, honing skills in project management and scientific communication to drive advancements in the global space industry. Upon the successful completion of the program, students should be able to: • Integrate advanced concepts in celestial mechanics, computational techniques, and space science and technology, alongside developing technical skills in space instrumentation, remote sensing technologies, AI, and machine learning applications relevant to space exploration. • Use proficiency in research methodology and data analysis, with the ability to conduct original research that contributes to the field, while acquiring specialized knowledge in key astrophysical areas including stellar astrophysics, radio astronomy, high-energy astrophysics, planetary science, and cosmology. • Effectively communicate complex scientific concepts and research findings through oral presentations, publications, and other forms of scholarly dissemination, ensuring the ability to share knowledge within and beyond the academic community. • Apply critical thinking and problem-solving skills to address and navigate challenges in space science and technology, demonstrating adaptability, creativity, and resilience in solving complex problems. • Engage in effective collaboration and networking with both academic and industry partners, leveraging interdisciplinary research opportunities while demonstrating ethical and professional conduct in all research activities, adhering to the highest standards of integrity and responsibility. • Apply leadership skills and professional development through comprehensive integration of the evolving landscape of space science and technology. • Develop innovative applications and solutions of space science and technology principles to real-world scenarios.

Entry Requirements

Academic: Admission requirements for Ph.D. programs: • The student must hold a master’s degree with a minimum grade of “Very Good” (3.0 out of 4.0) and a bachelor’s degree with a minimum grade of “Good” (2.5 out of 4.0) or equivalent from a university, college, or institute recognized by the UAE Ministry of Education. • The student must meet the English language proficiency requirement • Passing the personal interview. • Submission of a ‘No Objection Certificate’ from the authorities responsible for national service for male Emirati students. • Submission of a letter of study approval from the Kuwaiti Embassy Cultural Office (for Kuwaiti students only). • Submission of a People of Determination card (if applicable). • If the student is employed, a letter from the employer stating that the student is currently working for this agency must be attached. • Individuals with foreign qualifications must provide a Certificate of Equivalency.
English: For programs taught in English, a score of 550 in TOEFL (ITP) (or its equivalent), or 6 in IELTS English exam must be obtained. Exemptions: • Students whose native language is English and studied a bachelor’s or master’s program in a country where English is the official language are exempt from the English language proficiency requirement. • Students who graduated from a university where English is the language of instruction are also exempt from the English language proficiency requirement provided that they obtained a minimum score of 500 in TOEFL (ITP) (or its equivalent) or 5.0 in IELTS upon enrolling in the bachelor’s program, and 550 in TOEFL (ITP) (or its equivalent), or 6 in IELTS upon joining the master’s program. Equivalent scores (EmSAT / paper-based TOEFL ITP / IELTS academic): 950-1075 / 450 / 4.5; 1100-1225 / 500 / 5.0; 1250-1375 / 530 / 5.5; 1400-1525 / 550 / 6.0. The paper-based TOEFL ITP is offered only by the University of Sharjah, AMIDEAST Dubai, and the Abu Dhabi head offices. The University of Sharjah reserves the right to require students to attend an interview at the Language Institute. Students may also be required to take an additional in-house test to ensure their scores align with their English language proficiency.

Programme Details

Award

PhD

Start Date

Fall and Spring

Duration

3-5 Years

Qualification

PhD

Subject Area

Natural Sciences

Study Pattern

Full time